{"id":96185,"date":"2026-09-07T16:49:34","date_gmt":"2026-09-07T13:49:34","guid":{"rendered":"https:\/\/twodots.gr\/?p=96185"},"modified":"2026-09-07T16:49:35","modified_gmt":"2026-09-07T13:49:35","slug":"dynamic-context-scheduling-ai-agents-metavallomenos-kosmos","status":"publish","type":"post","link":"https:\/\/twodots.gr\/bg\/dynamic-context-scheduling-ai-agents-metavallomenos-kosmos\/","title":{"rendered":"Dynamic Context Scheduling: \u03c0\u03ce\u03c2 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03b5\u03b9\u03c2 AI agents \u03b3\u03b9\u03b1 \u03ad\u03bd\u03b1\u03bd \u03ba\u03cc\u03c3\u03bc\u03bf \u03c0\u03bf\u03c5 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>\u03a4\u03bf Dynamic Context Scheduling \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd AI agent \u03c3\u03b5 \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd \u03cc\u03c0\u03bf\u03c5 \u03c4\u03bf context \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03bc\u03b5 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf \u03c1\u03c5\u03b8\u03bc\u03cc \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf episode.<\/strong> \u03a3\u03c4\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03c4\u03c9\u03bd Martin Mr\u00e1z \u03ba\u03b1\u03b9 Andr\u00e9 Biedenkapp, \u03c4\u03b1 dynamic schedules \u03b9\u03c3\u03bf\u03c6\u03ac\u03c1\u03b9\u03c3\u03b1\u03bd \u03ae \u03be\u03b5\u03c0\u03ad\u03c1\u03b1\u03c3\u03b1\u03bd \u03c4\u03b1 static baselines \u03c3\u03b5 \u03ac\u03b3\u03bd\u03c9\u03c3\u03c4\u03b5\u03c2 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2 \u03c3\u03c4\u03b1 CartPole, BipedalWalker \u03ba\u03b1\u03b9 CarRacing, \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b4\u03b9\u03b5\u03c5\u03c1\u03cd\u03bd\u03bf\u03c5\u03bd \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf state-space coverage. \u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae\u03c2, \u03c4\u03bf \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03b5\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ac \u03c4\u03b1 \u03c3\u03b5\u03bd\u03ac\u03c1\u03b9\u03b1 drift, \u03c0\u03b5\u03c1\u03b9\u03bf\u03b4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03b9\u03c6\u03bd\u03af\u03b4\u03b9\u03b1\u03c2 \u03b1\u03c3\u03c4\u03bf\u03c7\u03af\u03b1\u03c2 \u2014 \u03cc\u03c7\u03b9 \u03bd\u03b1 \u03b8\u03b5\u03c9\u03c1\u03b5\u03af \u03c4\u03b7 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf \u03ad\u03c4\u03bf\u03b9\u03bc\u03b7 \u03b5\u03b3\u03b3\u03cd\u03b7\u03c3\u03b7 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1\u03c2.<\/p>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03b5\u03bd\u03b4\u03bf-\u03b5\u03c0\u03b5\u03b9\u03c3\u03bf\u03b4\u03b9\u03b1\u03ba\u03ae \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae \u03c9\u03c2 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03bf \u03b4\u03b9\u03b1\u03bc\u03cc\u03c1\u03c6\u03c9\u03c3\u03b7\u03c2 \u03c4\u03b7\u03c2 \u03bc\u03ac\u03b8\u03b7\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03c9\u03c2 \u03c0\u03b9\u03c3\u03c4\u03cc \u03b1\u03bd\u03c4\u03af\u03b3\u03c1\u03b1\u03c6\u03bf \u03ba\u03ac\u03b8\u03b5 deployment. \u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03c3\u03b5 static contexts, \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03c4\u03b1\u03b9 \u03b1\u03bd \u03b7 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ac \u03b4\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03b7 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 zero-shot \u03b3\u03b5\u03bd\u03af\u03ba\u03b5\u03c5\u03c3\u03b7.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">\u0421\u044a\u0434\u044a\u0440\u0436\u0430\u043d\u0438\u0435<\/div>\n<ul>\n<li><a href=\"#statiko-sympan-ekpaidefsi\">\u03a4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03c4\u03bf\u03c5 \u00ab\u03c3\u03c4\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd \u03c3\u03cd\u03bc\u03c0\u03b1\u03bd\u03c4\u03bf\u03c2\u00bb \u03c3\u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7<\/a><\/li>\n<li><a href=\"#ti-einai-dynamic-context-scheduling\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf Dynamic Context Scheduling<\/a><\/li>\n<li><a href=\"#oikogeneies-dynamic-schedules\">\u0388\u03be\u03b9 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ad\u03c2 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae\u03c2 \u2014 \u03ba\u03b1\u03b9 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03c3\u03c5\u03bd\u03b8\u03ad\u03c3\u03b5\u03b9\u03c2<\/a><\/li>\n<li><a href=\"#context-aware-context-blind-agent\">Context-aware \u03ae context-blind agent;<\/a><\/li>\n<li><a href=\"#pos-stithike-axiologisi\">\u03a0\u03ce\u03c2 \u03c3\u03c4\u03ae\u03b8\u03b7\u03ba\u03b5 \u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7<\/a><\/li>\n<li><a href=\"#apotelesmata-tria-perivallonta\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c3\u03c4\u03b1 \u03c4\u03c1\u03af\u03b1 \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03b1<\/a><\/li>\n<li><a href=\"#state-space-coverage\">\u0393\u03b9\u03b1\u03c4\u03af \u03b7 \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03c4\u03bf\u03c5 state space \u03b4\u03b5\u03bd \u03b5\u03be\u03b7\u03b3\u03b5\u03af \u03c4\u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7<\/a><\/li>\n<li><a href=\"#multi-stage-curriculum\">\u0391\u03c0\u03cc \u03ad\u03bd\u03b1 schedule \u03c3\u03b5 curriculum \u03c0\u03bf\u03bb\u03bb\u03ce\u03bd \u03c3\u03c4\u03b1\u03b4\u03af\u03c9\u03bd<\/a><\/li>\n<li><a href=\"#omades-ai-agents-aftomatismoi\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03c7\u03c4\u03af\u03b6\u03bf\u03c5\u03bd agents \u03ba\u03b1\u03b9 \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2<\/a><\/li>\n<li><a href=\"#pliroforia-context-paragogi\">\u0397 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 context \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03c9\u03c1\u03b5\u03ac\u03bd<\/a><\/li>\n<li><a href=\"#oria-meletis\">\u03a4\u03b9 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03b1\u03ba\u03cc\u03bc\u03b7 \u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1<\/a><\/li>\n<li><a href=\"#orimo-plaisio-ai-robustness\">\u0388\u03bd\u03b1 \u03c0\u03b9\u03bf \u03ce\u03c1\u03b9\u03bc\u03bf \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03b3\u03b9\u03b1 AI robustness<\/a><\/li>\n<\/ul>\n<\/div>\n<h2 id=\"statiko-sympan-ekpaidefsi\">\u03a4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03c4\u03bf\u03c5 \u00ab\u03c3\u03c4\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd \u03c3\u03cd\u03bc\u03c0\u03b1\u03bd\u03c4\u03bf\u03c2\u00bb \u03c3\u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7<\/h2>\n<p>\u041d\u0430 \u0430\u0434\u0440\u0435\u0441 <a href=\"https:\/\/twodots.gr\/epalithefsi-politikon-reinforcement-learning-ai-agent\/\">contextual reinforcement learning<\/a>, \u03c4\u03bf \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b1\u03c0\u03cc state \u03ba\u03b1\u03b9 action, \u03b1\u03bb\u03bb\u03ac \u03ba\u03b1\u03b9 \u03b1\u03c0\u03cc \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03ad\u03c2 context. \u0391\u03c5\u03c4\u03ad\u03c2 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03ba\u03b1\u03b8\u03bf\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03b7 \u03b4\u03c5\u03bd\u03b1\u03bc\u03b9\u03ba\u03ae \u03bc\u03b5\u03c4\u03ac\u03b2\u03b1\u03c3\u03b7\u03c2, \u03c4\u03b7\u03bd \u03b1\u03bd\u03c4\u03b1\u03bc\u03bf\u03b9\u03b2\u03ae \u03ae \u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7. \u03a3\u03c4\u03b7\u03bd \u03c0\u03c1\u03ac\u03be\u03b7, context \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03bc\u03ae\u03ba\u03bf\u03c2 \u03b5\u03bd\u03cc\u03c2 \u03b5\u03ba\u03ba\u03c1\u03b5\u03bc\u03bf\u03cd\u03c2, \u03b7 \u03b8\u03ad\u03c3\u03b7 \u03b5\u03bd\u03cc\u03c2 \u03c6\u03bf\u03c1\u03c4\u03af\u03bf\u03c5 \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03c1\u03bf\u03bc\u03c0\u03cc\u03c4, \u03b7 \u03c4\u03c1\u03b9\u03b2\u03ae \u03ae \u03b7 \u03b9\u03c3\u03c7\u03cd\u03c2 \u03b5\u03bd\u03cc\u03c2 actuator. \u0397 \u03c3\u03c5\u03bd\u03b7\u03b8\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7 \u03c5\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03c4\u03b9\u03bc\u03ae \u03b5\u03c0\u03b9\u03bb\u03ad\u03b3\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03ae \u03c4\u03bf\u03c5 \u03b5\u03c0\u03b5\u03b9\u03c3\u03bf\u03b4\u03af\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae \u03bc\u03ad\u03c7\u03c1\u03b9 \u03c4\u03bf \u03c4\u03ad\u03bb\u03bf\u03c2.<\/p>\n<p>\u0391\u03c5\u03c4\u03ae \u03b7 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b4\u03b9\u03b5\u03c5\u03ba\u03bf\u03bb\u03cd\u03bd\u03b5\u03b9 \u03c4\u03bf training \u03ba\u03b1\u03b9 \u03c4\u03bf credit assignment, \u03b1\u03bb\u03bb\u03ac \u03b1\u03c6\u03b1\u03b9\u03c1\u03b5\u03af \u03ad\u03bd\u03b1 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc \u03c4\u03bf\u03c5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd \u03ba\u03cc\u03c3\u03bc\u03bf\u03c5: \u03bf\u03b9 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2 \u03b4\u03b5\u03bd \u03c0\u03b5\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03bd\u03b1 \u03c4\u03b5\u03bb\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03b5\u03c0\u03b5\u03b9\u03c3\u03cc\u03b4\u03b9\u03bf \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03bf\u03c5\u03bd. \u03a0\u03b1\u03c1\u03ac\u03bb\u03bb\u03b7\u03bb\u03b1, \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03b1\u03bd \u03bf \u03c3\u03c4\u03cc\u03c7\u03bf\u03c2 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c4\u03b1\u03c4\u03b9\u03ba\u03cc\u03c2, \u03b7 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae \u03ba\u03b1\u03c4\u03ac \u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03b5\u03b9 \u03c3\u03b1\u03bd regularization \u03ba\u03b1\u03b9 \u03c3\u03b1\u03bd \u03bf\u03c1\u03b3\u03b1\u03bd\u03c9\u03bc\u03ad\u03bd\u03b7 \u03b5\u03be\u03b5\u03c1\u03b5\u03cd\u03bd\u03b7\u03c3\u03b7. \u0397 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03b1\u03b3\u03ba\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03bc\u03b7 \u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03b5\u03b9 \u03c5\u03c0\u03b5\u03c1\u03b2\u03bf\u03bb\u03b9\u03ba\u03ac \u03bc\u03b9\u03b1 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03bc\u03b5 \u03bc\u03af\u03b1 \u03bc\u03cc\u03bd\u03bf, \u03b1\u03ba\u03af\u03bd\u03b7\u03c4\u03b7 \u03b5\u03ba\u03b4\u03bf\u03c7\u03ae \u03c4\u03b7\u03c2 \u03c6\u03c5\u03c3\u03b9\u03ba\u03ae\u03c2.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7, \u03b7 \u03b1\u03bd\u03b1\u03bb\u03bf\u03b3\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ac\u03bc\u03b5\u03c3\u03b7. \u0388\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03ae agent \u03c0\u03bf\u03c5 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c3\u03b5 \u00ab\u03ba\u03b1\u03b8\u03b1\u03c1\u03ad\u03c2\u00bb \u03c1\u03bf\u03ad\u03c2, \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1 \u03ba\u03b1\u03b9 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b9\u03bc\u03b1 \u03b1\u03b9\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03bf \u03c3\u03c4\u03bf demo, \u03b1\u03bb\u03bb\u03ac \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03c1\u03c1\u03ad\u03b5\u03b9 \u03cc\u03c4\u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03b7 \u03c3\u03b5\u03b9\u03c1\u03ac \u03c4\u03c9\u03bd \u03b2\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd, \u03b7 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03c9\u03bd \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03ae \u03bc\u03b9\u03b1 \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03c5\u03c0\u03b7\u03c1\u03b5\u03c3\u03af\u03b1. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c3\u03b5 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac workflows\u00b7 \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03ad\u03bd\u03b1 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf engineering principle: \u03b7 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03b4\u03bf\u03bc\u03ae \u03c4\u03b7\u03c2 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae\u03c2 \u03ba\u03b1\u03c4\u03ac \u03c4\u03bf training \u03b1\u03be\u03af\u03b6\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03bd\u03b1 \u03b1\u03c6\u03ae\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03c4\u03cd\u03c7\u03b7.<\/p>\n<h2 id=\"ti-einai-dynamic-context-scheduling\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf Dynamic Context Scheduling<\/h2>\n<p>\u03a4\u03bf Dynamic Context Scheduling \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03ac \u03c4\u03bf \u03c3\u03c4\u03b1\u03c4\u03b9\u03ba\u03cc context \u03b1\u03bd\u03ac \u03b5\u03c0\u03b5\u03b9\u03c3\u03cc\u03b4\u03b9\u03bf \u03bc\u03b5 \u03bc\u03b9\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ae \u03c4\u03c1\u03bf\u03c7\u03b9\u03ac. \u03a3\u03b5 \u03ba\u03ac\u03b8\u03b5 timestep, \u03ad\u03bd\u03b1\u03c2 scheduler \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7 \u03bd\u03ad\u03b1 \u03c4\u03b9\u03bc\u03ae context \u03ba\u03b1\u03b9 \u03c4\u03bf wrapper \u03c4\u03b7\u03bd \u03c0\u03b5\u03c1\u03bd\u03ac \u03c3\u03c4\u03bf\u03bd simulator. \u0397 \u03b1\u03c1\u03c7\u03b9\u03ba\u03ae \u03c4\u03b9\u03bc\u03ae \u03b5\u03be\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03bd\u03b1 \u03b5\u03c0\u03b9\u03bb\u03ad\u03b3\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 \u03c0\u03c1\u03bf\u03ba\u03b1\u03b8\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf pool, \u03cc\u03bc\u03c9\u03c2 \u03c3\u03c4\u03b7 \u03c3\u03c5\u03bd\u03ad\u03c7\u03b5\u03b9\u03b1 \u03c4\u03bf \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03bf\u03bc\u03b1\u03bb\u03ac, \u03b1\u03c0\u03cc\u03c4\u03bf\u03bc\u03b1, \u03c0\u03b5\u03c1\u03b9\u03bf\u03b4\u03b9\u03ba\u03ac \u03ae \u03c3\u03c4\u03bf\u03c7\u03b1\u03c3\u03c4\u03b9\u03ba\u03ac.<\/p>\n<p>\u03a4\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03c3\u03b5 \u03c3\u03c4\u03b1\u03c4\u03b9\u03ba\u03ac contexts. \u0386\u03c1\u03b1 \u03c4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b1\u03bd\u03c4\u03b1\u03bc\u03b5\u03af\u03b2\u03b5\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03ad\u03bd\u03b1\u03bd agent \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03ad\u03bc\u03b1\u03b8\u03b5 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03ad\u03bd\u03b1 \u03ba\u03b9\u03bd\u03bf\u03cd\u03bc\u03b5\u03bd\u03bf \u03c3\u03ae\u03bc\u03b1. \u0395\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03b1\u03bd \u03b7 \u03b4\u03c5\u03bd\u03b1\u03bc\u03b9\u03ba\u03ae \u03b5\u03bc\u03c0\u03b5\u03b9\u03c1\u03af\u03b1 \u03ba\u03b1\u03c4\u03ac \u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03c0\u03bf\u03c5 \u03b3\u03b5\u03bd\u03b9\u03ba\u03b5\u03cd\u03b5\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 \u03cc\u03c4\u03b1\u03bd \u03b1\u03c1\u03b3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03c4\u03bf\u03c0\u03bf\u03b8\u03b5\u03c4\u03b7\u03b8\u03b5\u03af \u03c3\u03b5 \u03bc\u03b9\u03b1 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae \u03b1\u03bb\u03bb\u03ac \u03ac\u03b3\u03bd\u03c9\u03c3\u03c4\u03b7 \u03b5\u03ba\u03b4\u03bf\u03c7\u03ae \u03c4\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03bf\u03c2.<\/p>\n<p>\u039f\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03c5\u03bb\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b1\u03bd \u03c4\u03bf DynamicCARLEnv, \u03ad\u03bd\u03b1 open-source wrapper \u03c0\u03ac\u03bd\u03c9 \u03b1\u03c0\u03cc \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03b1 CARL. \u039f scheduler \u03b5\u03bd\u03b7\u03bc\u03b5\u03c1\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf context, \u03ad\u03bd\u03b1\u03c2 physics adapter \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c4\u03b9\u03bc\u03ae \u03c3\u03c4\u03bf\u03bd simulator, \u03ad\u03bd\u03b1\u03c2 observation adapter \u03ba\u03b1\u03b8\u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b9 \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03b7 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1\u03c2 tracker \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 state, action, reward \u03ba\u03b1\u03b9 context. \u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03b7 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae scheduling \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03cc \u03c4\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03bf\u03c2 \u03bc\u03ad\u03c3\u03c9 getter \u03ba\u03b1\u03b9 setter callables, \u03c4\u03bf \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b5\u03bb\u03b1\u03c6\u03c1\u03cd \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b5\u03ba\u03c4\u03ac\u03c3\u03b9\u03bc\u03bf \u03c3\u03b5 \u03c3\u03c5\u03bc\u03b2\u03b1\u03c4\u03ac physics backends.<\/p>\n<h2 id=\"oikogeneies-dynamic-schedules\">\u0388\u03be\u03b9 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ad\u03c2 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae\u03c2 \u2014 \u03ba\u03b1\u03b9 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03c3\u03c5\u03bd\u03b8\u03ad\u03c3\u03b5\u03b9\u03c2<\/h2>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03bd \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03b5\u03b9 \u03cc\u03bb\u03b5\u03c2 \u03c4\u03b9\u03c2 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ad\u03c2 \u03c9\u03c2 \u03af\u03b4\u03b9\u03b5\u03c2. \u0394\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03b5\u03b9 \u03ad\u03be\u03b9 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ad\u03c2 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2 schedules. \u03a4\u03bf sinusoidal \u03bc\u03b5\u03c4\u03b1\u03ba\u03b9\u03bd\u03b5\u03af \u03c0\u03b5\u03c1\u03b9\u03bf\u03b4\u03b9\u03ba\u03ac \u03c4\u03bf context \u03b3\u03cd\u03c1\u03c9 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03b9\u03ba\u03ae \u03c4\u03b9\u03bc\u03ae, \u03b5\u03ba\u03b8\u03ad\u03c4\u03bf\u03bd\u03c4\u03b1\u03c2 \u03b5\u03c0\u03b1\u03bd\u03b5\u03b9\u03bb\u03b7\u03bc\u03bc\u03ad\u03bd\u03b1 \u03c4\u03b7\u03bd \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03c3\u03b5 \u03b5\u03c5\u03c1\u03cd \u03b5\u03cd\u03c1\u03bf\u03c2. \u03a4\u03bf cosine annealing \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03bf\u03bc\u03b1\u03bb\u03ae, \u03bc\u03bf\u03bd\u03cc\u03c4\u03bf\u03bd\u03b7 \u03bc\u03b5\u03c4\u03b1\u03c4\u03cc\u03c0\u03b9\u03c3\u03b7 \u03b1\u03bd\u03ac \u03ba\u03cd\u03ba\u03bb\u03bf \u03ba\u03b1\u03b9 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ba\u03ac\u03bd\u03b5\u03b9 restart, \u03b1\u03bd\u03b1\u03b3\u03ba\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03c2 \u03c4\u03bf\u03bd agent \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03c3\u03c4\u03b5\u03af \u03be\u03b1\u03bd\u03ac \u03b1\u03c0\u03cc \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c6\u03b5\u03c4\u03b7\u03c1\u03af\u03b5\u03c2. \u039f continuous incrementer \u03b1\u03c5\u03be\u03ac\u03bd\u03b5\u03b9 \u03ae \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac \u03c4\u03b7\u03bd \u03c4\u03b9\u03bc\u03ae \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b1\u03ba\u03bb\u03ac\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03cc\u03c1\u03b9\u03b1.<\/p>\n<p>\u03a4\u03bf piecewise constant \u03ba\u03c1\u03b1\u03c4\u03ac \u03c4\u03b7\u03bd \u03c4\u03b9\u03bc\u03ae \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae \u03b3\u03b9\u03b1 \u03c4\u03c5\u03c7\u03b1\u03af\u03b1 \u03c4\u03bc\u03ae\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03ad\u03c0\u03b5\u03b9\u03c4\u03b1 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03ac\u03bb\u03bc\u03b1 \u03c3\u03b5 \u03bd\u03ad\u03b1 \u03c4\u03b9\u03bc\u03ae. \u0388\u03c4\u03c3\u03b9 \u03bc\u03bf\u03bd\u03c4\u03b5\u03bb\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03b1\u03c0\u03cc\u03c4\u03bf\u03bc\u03b5\u03c2 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03ba\u03b1\u03b8\u03b5\u03c3\u03c4\u03ce\u03c4\u03bf\u03c2, \u03cc\u03c0\u03c9\u03c2 \u03c0\u03c4\u03ce\u03c3\u03b7 \u03c6\u03bf\u03c1\u03c4\u03af\u03bf\u03c5 \u03ae \u03b2\u03bb\u03ac\u03b2\u03b7 actuator. \u03a4\u03bf random walk \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03b1\u03c1\u03b3\u03ae, \u03b5\u03c0\u03af\u03bc\u03bf\u03bd\u03b7 \u03c3\u03c4\u03bf\u03c7\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae \u03bc\u03b5\u03c4\u03b1\u03c4\u03cc\u03c0\u03b9\u03c3\u03b7, \u03b5\u03bd\u03ce \u03c4\u03b1 stochastic jumps \u03b5\u03b9\u03c3\u03ac\u03b3\u03bf\u03c5\u03bd \u03bc\u03b5\u03b3\u03ac\u03bb\u03b5\u03c2 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03c4\u03c5\u03c7\u03b1\u03af\u03bf\u03c5 \u03bc\u03b5\u03b3\u03ad\u03b8\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03c3\u03bc\u03bf\u03cd. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03bf\u03c5\u03bd \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2, \u03cc\u03c0\u03c9\u03c2 sinusoidal jump, Ornstein\u2013Uhlenbeck \u03ba\u03b1\u03b9 phased OU, \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03bd L\u00e9vy walk \u03c0\u03bf\u03c5 \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 \u03ac\u03bb\u03bc\u03b1\u03c4\u03b1 \u03bc\u03b5 Gaussian \u03b8\u03cc\u03c1\u03c5\u03b2\u03bf.<\/p>\n<p>\u0391\u03c5\u03c4\u03ae \u03b7 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03ad\u03c7\u03b5\u03b9 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae \u03b1\u03be\u03af\u03b1. \u0388\u03bd\u03b1 \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03bc\u03b1\u03b8\u03b1\u03af\u03bd\u03b5\u03b9 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03cc\u03c4\u03b1\u03bd \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03b1\u03c1\u03b3\u03ae \u03c6\u03b8\u03bf\u03c1\u03ac, \u03c0\u03b5\u03c1\u03b9\u03bf\u03b4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ae \u03b1\u03b9\u03c6\u03bd\u03af\u03b4\u03b9\u03b1 \u03b1\u03c3\u03c4\u03bf\u03c7\u03af\u03b1. \u0397 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae schedule \u03b5\u03bd\u03c3\u03c9\u03bc\u03b1\u03c4\u03ce\u03bd\u03b5\u03b9 \u03c5\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03b5\u03af\u03b4\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae\u03c2 \u03c0\u03bf\u03c5 \u03b8\u03ad\u03bb\u03bf\u03c5\u03bc\u03b5 \u03bd\u03b1 \u03ba\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03b8\u03b5\u03ba\u03c4\u03b9\u03ba\u03ae. \u0394\u03b5\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03ad\u03bd\u03b1\u03c2 \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03cc\u03c2 \u03bd\u03b9\u03ba\u03b7\u03c4\u03ae\u03c2: \u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c4\u03bf\u03c5 paper \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03b7 \u03ba\u03b1\u03c4\u03b1\u03bb\u03bb\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b1 \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd \u03ba\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03b1\u03bd \u03bf agent \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03b5\u03af \u03c1\u03b7\u03c4\u03ac \u03c4\u03bf context.<\/p>\n<h2 id=\"context-aware-context-blind-agent\">Context-aware \u03ae context-blind agent;<\/h2>\n<p>\u03a4\u03bf DynamicCARLEnv \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03b4\u03cd\u03bf \u03ba\u03cd\u03c1\u03b9\u03b5\u03c2 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2. \u03a3\u03c4\u03bf <em>live<\/em> mode, \u03b7 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03c4\u03bf \u03c4\u03c1\u03ad\u03c7\u03bf\u03bd context \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03c4\u03bf state. \u03a3\u03c4\u03bf <em>\u043d\u044f\u043c\u0430<\/em> mode, \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf state, \u03b5\u03bd\u03ce \u03b7 \u03b4\u03c5\u03bd\u03b1\u03bc\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03bf\u03c2 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u00ab\u03c3\u03b9\u03c9\u03c0\u03b7\u03bb\u03ac\u00bb. \u03a4\u03bf \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf \u03bc\u03bf\u03b9\u03ac\u03b6\u03b5\u03b9 \u03bc\u03b5 domain randomization \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf \u03b5\u03c0\u03b5\u03b9\u03c3\u03cc\u03b4\u03b9\u03bf \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c3\u03c4\u03bf\u03c5\u03c2 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03bd\u03b1 \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03c3\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae\u03c2 \u03b4\u03bf\u03bc\u03ae\u03c2 \u03b1\u03c0\u03cc \u03c4\u03bf \u03cc\u03c6\u03b5\u03bb\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03ac\u03bc\u03b5\u03c3\u03b7\u03c2 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03cc\u03c1\u03b7\u03c3\u03b7\u03c2.<\/p>\n<p>\u038c\u03c4\u03b1\u03bd \u03c4\u03bf context \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03c1\u03b1\u03c4\u03cc, \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf \u03b4\u03b9\u03ac\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b1\u03c0\u03cc -1 \u03ad\u03c9\u03c2 +1 \u03bc\u03b5 \u03c6\u03c5\u03c3\u03b9\u03ba\u03ac \u03b5\u03cd\u03bb\u03bf\u03b3\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03c0\u03bf\u03c5 \u03b5\u03ba\u03c4\u03b5\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c0\u03ad\u03c1\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b1 evaluation contexts. \u0388\u03c4\u03c3\u03b9 \u03bf\u03b9 OOD \u03c4\u03b9\u03bc\u03ad\u03c2 \u03b4\u03b5\u03bd \u03ba\u03bf\u03c1\u03ad\u03bd\u03bd\u03c5\u03bd\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03c4\u03bf evaluation grid \u03b4\u03b5\u03bd \u03ba\u03c9\u03b4\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 \u03ba\u03b1\u03c4\u03ac \u03bb\u03ac\u03b8\u03bf\u03c2 \u03c3\u03c4\u03b7\u03bd \u03b5\u03af\u03c3\u03bf\u03b4\u03bf. \u0397 \u03bb\u03b5\u03c0\u03c4\u03bf\u03bc\u03ad\u03c1\u03b5\u03b9\u03b1 \u03b1\u03c5\u03c4\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ae: \u03ad\u03bd\u03b1 \u00ab\u03b2\u03bf\u03b7\u03b8\u03b7\u03c4\u03b9\u03ba\u03cc\u00bb feature \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03b5\u03b9 leakage \u03ae \u03b1\u03c3\u03c4\u03b1\u03b8\u03ae \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1 \u03b1\u03bd \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03c4\u03b5\u03af \u03b1\u03c0\u03cc \u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2.<\/p>\n<p>\u03a4\u03b1 \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03b1 \u03b4\u03b5\u03bd \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf \u03b1\u03c0\u03bb\u03bf\u03ca\u03ba\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03cc\u03c4\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03ac\u03bd\u03c4\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7. \u03a4\u03bf CartPole \u03c9\u03c6\u03b5\u03bb\u03ae\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b7 \u03c4\u03bf\u03c5 context. \u03a3\u03c4\u03bf CarRacing, \u03b1\u03bd\u03c4\u03af\u03b8\u03b5\u03c4\u03b1, \u03b7 blind \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1 \u03b5\u03af\u03c7\u03b5 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc \u03c0\u03bb\u03b5\u03bf\u03bd\u03ad\u03ba\u03c4\u03b7\u03bc\u03b1 \u03c3\u03b5 \u03c0\u03bf\u03bb\u03bb\u03ad\u03c2 \u03c1\u03c5\u03b8\u03bc\u03af\u03c3\u03b5\u03b9\u03c2, \u03b5\u03bd\u03ce \u03bf Walker \u03b2\u03c1\u03ad\u03b8\u03b7\u03ba\u03b5 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03b1 \u03b4\u03cd\u03bf \u03ac\u03ba\u03c1\u03b1. \u0397 \u03af\u03b4\u03b9\u03b1 \u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03cd\u03b5\u03b9 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7\u03bd \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03c1\u03bf\u03c6\u03ae \u03c9\u03c2 \u03b9\u03b4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03bf\u03c2 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03c0\u03b1\u03c1\u03ac \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 scheduler. \u0393\u03b9\u03b1 product teams \u03c0\u03bf\u03c5 \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03bf\u03c5\u03bd <a href=\"https:\/\/twodots.gr\/ai-agents-behavioral-testing\/\">behavioral testing \u03c3\u03b5 AI agents<\/a>, \u03c4\u03bf \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ae\u03ba\u03b7 metadata \u03c3\u03c4\u03b7\u03bd \u03b5\u03af\u03c3\u03bf\u03b4\u03bf \u03b5\u03bd\u03cc\u03c2 agent, \u03cc\u03c0\u03c9\u03c2 \u03ba\u03b1\u03b9 \u03ba\u03ac\u03b8\u03b5 <a href=\"https:\/\/twodots.gr\/direag-ai-den-empistevetai-tyfla-vevaiotita\/\">\u03c3\u03ae\u03bc\u03b1 \u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2 \u03ae \u03b1\u03c0\u03bf\u03c7\u03ae\u03c2<\/a>, \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bd\u03b1 \u03b8\u03b5\u03c9\u03c1\u03b5\u03af\u03c4\u03b1\u03b9 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b1 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7.<\/p>\n<div class=\"td-comparison td-comparison-cards td-comparison-cards--horizontal\">\n<div class=\"td-comparison-grid td-comparison-grid--three\">\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">Static context<\/p>\n<p>\u03a4\u03bf context \u03b4\u03b5\u03b9\u03b3\u03bc\u03b1\u03c4\u03bf\u03bb\u03b7\u03c0\u03c4\u03b5\u03af\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03ae \u03ba\u03b1\u03b9 \u03bc\u03ad\u03bd\u03b5\u03b9 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc \u03bc\u03ad\u03c7\u03c1\u03b9 \u03c4\u03bf \u03c4\u03ad\u03bb\u03bf\u03c2 \u03c4\u03bf\u03c5 episode. \u0395\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03b8\u03b1\u03c1\u03cc baseline, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03bf\u03c1\u03b3\u03b1\u03bd\u03ce\u03bd\u03b5\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ac \u03c4\u03b7 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">\u0391\u03bd\u03ac episode<\/span><span class=\"td-badge\">\u03a3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae \u03b4\u03c5\u03bd\u03b1\u03bc\u03b9\u03ba\u03ae<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">Dynamic observed<\/p>\n<p>\u03a4\u03bf context \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf episode \u03ba\u03b1\u03b9 \u03c0\u03c1\u03bf\u03c3\u03c4\u03af\u03b8\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03b7\u03bc\u03ad\u03bd\u03bf \u03c3\u03c4\u03bf state. \u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b2\u03bf\u03b7\u03b8\u03ae\u03c3\u03b5\u03b9, \u03b1\u03c1\u03ba\u03b5\u03af \u03c4\u03bf \u03c3\u03ae\u03bc\u03b1 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03bf \u03ba\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ac \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03bf.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Live context<\/span><span class=\"td-badge\">\u03a1\u03b7\u03c4\u03ae \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<p class=\"td-comparison-title\">Dynamic blind<\/p>\n<p>\u0397 \u03b4\u03c5\u03bd\u03b1\u03bc\u03b9\u03ba\u03ae \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03c4\u03b1\u03b9 \u03c4\u03bf context \u03c3\u03c4\u03b7\u03bd \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae. \u03a3\u03c4\u03b7 lateral \u03c1\u03cd\u03b8\u03bc\u03b9\u03c3\u03b7 CarRacing \u03ad\u03b4\u03c9\u03c3\u03b5 \u03c4\u03bf \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf final-checkpoint \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">State only<\/span><span class=\"td-badge\">\u03a7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03b1\u03bd\u03b8\u03b5\u03ba\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"pos-stithike-axiologisi\">\u03a0\u03ce\u03c2 \u03c3\u03c4\u03ae\u03b8\u03b7\u03ba\u03b5 \u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7<\/h2>\n<p>\u0397 \u03ba\u03cd\u03c1\u03b9\u03b1 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03ad\u03b3\u03b9\u03bd\u03b5 \u03c3\u03c4\u03bf CartPole, \u03cc\u03c0\u03bf\u03c5 \u03c4\u03bf context \u03ae\u03c4\u03b1\u03bd \u03c4\u03bf \u03bc\u03ae\u03ba\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03c3\u03c4\u03cd\u03bb\u03bf\u03c5. \u03a4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf axis \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03bf \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03b4\u03cd\u03bf OOD \u03ac\u03ba\u03c1\u03b1, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03c4\u03cc\u03c3\u03bf \u03bf\u03b9 \u03c0\u03bf\u03bb\u03cd \u03bc\u03b9\u03ba\u03c1\u03bf\u03af \u03cc\u03c3\u03bf \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03c0\u03bf\u03bb\u03cd \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf\u03b9 \u03c3\u03c4\u03cd\u03bb\u03bf\u03b9 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03bf\u03cd\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03c4\u03c1\u03cc\u03c0\u03bf\u03c5\u03c2 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1\u03c2. \u0397 \u03b3\u03c1\u03ae\u03b3\u03bf\u03c1\u03b7 \u03c0\u03c1\u03bf\u03c3\u03bf\u03bc\u03bf\u03af\u03c9\u03c3\u03b7 \u03b5\u03c0\u03ad\u03c4\u03c1\u03b5\u03c8\u03b5 \u03b5\u03ba\u03c4\u03b5\u03bd\u03ae ablation \u03c3\u03b5 scheduler families, pool sizes \u03ba\u03b1\u03b9 modes \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2.<\/p>\n<p>\u0397 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b7\u03ba\u03b5 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03c3\u03c4\u03bf BipedalWalker \u03bc\u03b5 \u03ac\u03ba\u03b1\u03bc\u03c0\u03c4\u03bf \u03c6\u03bf\u03c1\u03c4\u03af\u03bf \u03c3\u03c4\u03bf\u03bd \u03ba\u03bf\u03c1\u03bc\u03cc \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03b1\u03b2\u03b1\u03bb\u03bb\u03cc\u03bc\u03b5\u03bd\u03b7 \u03bf\u03c1\u03b9\u03b6\u03cc\u03bd\u03c4\u03b9\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c4\u03cc\u03c0\u03b9\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03ba\u03ad\u03bd\u03c4\u03c1\u03bf\u03c5 \u03bc\u03ac\u03b6\u03b1\u03c2. \u03a3\u03c4\u03bf CarRacing \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c3\u03c5\u03bd\u03b5\u03c7\u03ad\u03c2 payload offset \u03ba\u03b1\u03c4\u03ac \u03c4\u03bf\u03bd \u03b4\u03b9\u03b1\u03bc\u03ae\u03ba\u03b7 \u03ba\u03b1\u03b9 \u03b5\u03b3\u03ba\u03ac\u03c1\u03c3\u03b9\u03bf \u03ac\u03be\u03bf\u03bd\u03b1, \u03bc\u03b5 pixel observations \u03ba\u03b1\u03b9 \u03c0\u03b9\u03bf \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03b7 \u03b4\u03c5\u03bd\u03b1\u03bc\u03b9\u03ba\u03ae. \u038c\u03bb\u03bf\u03b9 \u03bf\u03b9 agents \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03c4\u03b7\u03ba\u03b1\u03bd \u03bc\u03b5 PPO \u03b1\u03c0\u03cc \u03c4\u03bf Stable-Baselines3. \u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c7\u03c9\u03c1\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c3\u03b5 ID, OOD-low \u03ba\u03b1\u03b9 OOD-high contexts \u03ba\u03b1\u03b9 \u03ad\u03b3\u03b9\u03bd\u03b5 \u03bd\u03c4\u03b5\u03c4\u03b5\u03c1\u03bc\u03b9\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c3\u03b5 30 \u03b5\u03c0\u03b5\u03b9\u03c3\u03cc\u03b4\u03b9\u03b1 \u03b1\u03bd\u03ac evaluation context.<\/p>\n<p>\u039f\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd interquartile mean, \u03b4\u03b7\u03bb\u03b1\u03b4\u03ae IQM, \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03bc\u03b5\u03b9\u03ce\u03c3\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7 \u03b1\u03ba\u03c1\u03b1\u03af\u03c9\u03bd seeds. \u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b1\u03bd 10 seeds \u03c3\u03c4\u03bf CartPole, 8 \u03c3\u03c4\u03bf BipedalWalker \u03ba\u03b1\u03b9 5 \u03c3\u03c4\u03bf CarRacing \u03bb\u03cc\u03b3\u03c9 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ce\u03bd \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ce\u03bd. \u0397 \u03ac\u03bd\u03b9\u03c3\u03b7 \u03b1\u03c5\u03c4\u03ae \u03b9\u03c3\u03c7\u03cd\u03c2 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03c3\u03b7\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03b1 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03c0\u03c1\u03bf\u03b5\u03b9\u03b4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7: \u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c4\u03bf\u03c5 \u03bf\u03c0\u03c4\u03b9\u03ba\u03bf\u03cd \u03ba\u03b1\u03b9 \u03c0\u03b9\u03bf \u03b1\u03ba\u03c1\u03b9\u03b2\u03bf\u03cd \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03bf\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03b2\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03b5\u03bd\u03b8\u03b1\u03c1\u03c1\u03c5\u03bd\u03c4\u03b9\u03ba\u03ac, \u03cc\u03c7\u03b9 \u03c9\u03c2 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae.<\/p>\n<aside class=\"td-article-note\">\n<p><strong>\u03a4\u03bf evaluation protocol \u03bc\u03b5\u03c4\u03c1\u03ac generalization \u03c3\u03b5 \u03c3\u03c4\u03b1\u03c4\u03b9\u03ba\u03ac contexts.<\/strong> \u039f\u03b9 30 \u03bd\u03c4\u03b5\u03c4\u03b5\u03c1\u03bc\u03b9\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ad\u03c2 \u03b1\u03bd\u03ac evaluation context \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03b7 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03b8\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03c3\u03c4\u03b5\u03af \u03c3\u03c9\u03c3\u03c4\u03ac \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc deployment \u03c0\u03bf\u03c5 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c3\u03c5\u03bd\u03b5\u03c7\u03ce\u03c2. \u0391\u03c0\u03bf\u03bc\u03bf\u03bd\u03ce\u03bd\u03bf\u03c5\u03bd \u03b1\u03bd \u03c4\u03bf dynamic training \u03b2\u03bf\u03b7\u03b8\u03ac \u03c3\u03b5 \u03ac\u03b3\u03bd\u03c9\u03c3\u03c4\u03b5\u03c2 \u03b1\u03bb\u03bb\u03ac \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ad\u03c2 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2.<\/p>\n<\/aside>\n<h2 id=\"apotelesmata-tria-perivallonta\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c3\u03c4\u03b1 \u03c4\u03c1\u03af\u03b1 \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03b1<\/h2>\n<p>\u03a3\u03c4\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc checkpoint, \u03c4\u03b1 dynamic schedules \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ac \u03b9\u03c3\u03bf\u03c6\u03ac\u03c1\u03b9\u03c3\u03b1\u03bd \u03ae \u03be\u03b5\u03c0\u03ad\u03c1\u03b1\u03c3\u03b1\u03bd \u03c4\u03b1 static baselines. \u03a3\u03c4\u03bf CartPole, \u03c4\u03bf \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf observed dynamic \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b5\u03af\u03c7\u03b5 combined IQM 468,2, \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 429,0 \u03b3\u03b9\u03b1 \u03c4\u03bf static observed baseline. \u03a4\u03bf \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf blind dynamic \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03ae\u03c4\u03b1\u03bd 462,9 \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 410,0 \u03b3\u03b9\u03b1 \u03c4\u03bf static blind. \u0391\u03c5\u03c4\u03bf\u03af \u03bf\u03b9 \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03af \u03b1\u03c6\u03bf\u03c1\u03bf\u03cd\u03bd \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c1\u03cd\u03b8\u03bc\u03b9\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03bc\u03b5\u03c4\u03b1\u03c6\u03c1\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03cc \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7\u03c2.<\/p>\n<p>\u03a3\u03c4\u03bf BipedalWalker, \u03bf\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2 \u03ae\u03c4\u03b1\u03bd \u03b9\u03b4\u03b9\u03b1\u03af\u03c4\u03b5\u03c1\u03b1 \u03bc\u03b5\u03b3\u03ac\u03bb\u03b5\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf observed mode: \u03c4\u03bf static observed baseline \u03b5\u03af\u03c7\u03b5 IQM 31,0, \u03b5\u03bd\u03ce \u03c4\u03bf \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf scheduled observed \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 151,4. \u03a3\u03c4\u03bf blind mode, \u03c4\u03bf static baseline \u03ae\u03c4\u03b1\u03bd \u03ae\u03b4\u03b7 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf, \u03bc\u03b5 91,9, \u03ba\u03b1\u03b9 \u03c4\u03bf \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf dynamic \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 131,1. \u03a3\u03c4\u03bf CarRacing \u03b7 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03b5\u03be\u03b1\u03c1\u03c4\u03ae\u03b8\u03b7\u03ba\u03b5 \u03ad\u03bd\u03c4\u03bf\u03bd\u03b1 \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd \u03ac\u03be\u03bf\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b5\u03c0\u03b9\u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf blind dynamic scheduling \u03ae\u03c4\u03b1\u03bd \u03b9\u03b4\u03b9\u03b1\u03af\u03c4\u03b5\u03c1\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c3\u03c4\u03b7 lateral \u03bc\u03b5\u03c4\u03b1\u03c4\u03cc\u03c0\u03b9\u03c3\u03b7, \u03b5\u03bd\u03ce \u03c4\u03bf longitudinal static blind baseline \u03ae\u03c4\u03b1\u03bd \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03bf \u03bd\u03b1 \u03be\u03b5\u03c0\u03b5\u03c1\u03b1\u03c3\u03c4\u03b5\u03af.<\/p>\n<p>\u0397 appendix \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03b5\u03bd\u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03c4\u03b7 \u03bc\u03b7 \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03ae \u03c6\u03cd\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03b5\u03c5\u03c1\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2. \u03a3\u03c4\u03b1 observed settings, \u03c4\u03bf 89% \u03ad\u03c9\u03c2 100% \u03c4\u03c9\u03bd scheduler families \u03be\u03b5\u03c0\u03ad\u03c1\u03b1\u03c3\u03b5 \u03c4\u03bf \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03bf static baseline. \u03a3\u03c4\u03b1 blind CartPole \u03ba\u03b1\u03b9 Walker, \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 70% \u03ad\u03c9\u03c2 78% \u03c4\u03b1 \u03ba\u03b1\u03c4\u03ac\u03c6\u03b5\u03c1\u03b1\u03bd. \u03a3\u03c4\u03bf lateral CarRacing \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03b5\u03bd\u03bd\u03ad\u03b1 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2 \u03ba\u03ad\u03c1\u03b4\u03b9\u03c3\u03b1\u03bd \u03c4\u03bf static blind baseline, \u03b1\u03bb\u03bb\u03ac \u03c3\u03c4\u03bf longitudinal \u03bc\u03cc\u03bd\u03bf \u03c4\u03c1\u03b5\u03b9\u03c2 \u03b1\u03c0\u03cc \u03c4\u03b9\u03c2 \u03b5\u03bd\u03bd\u03ad\u03b1. Sinusoidal, L\u00e9vy walk \u03ba\u03b1\u03b9 sudden jump \u03ae\u03c4\u03b1\u03bd \u03b1\u03c0\u03cc \u03c4\u03b9\u03c2 \u03c0\u03b9\u03bf \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ad\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ac, \u03c7\u03c9\u03c1\u03af\u03c2 \u03cc\u03bc\u03c9\u03c2 \u03bc\u03af\u03b1 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b1 \u03bd\u03b1 \u03ba\u03c5\u03c1\u03b9\u03b1\u03c1\u03c7\u03b5\u03af \u03c0\u03b1\u03bd\u03c4\u03bf\u03cd.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-title\">\u03a4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 \u03b5\u03c0\u03b1\u03bb\u03b7\u03b8\u03b5\u03c5\u03bc\u03ad\u03bd\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c3\u03c4\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc checkpoint<\/p>\n<p class=\"td-chart-subtitle\">\u039f\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 IQM episode reward \u03c4\u03b7\u03c2 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7\u03c2 \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u03c1\u03cd\u03b8\u03bc\u03b9\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03bf\u03cd\u03bd \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03ac \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7\u03c2.<\/p>\n<\/div>\n<div class=\"td-chart-body\">\n<div class=\"td-metric-grid\">\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">468,2<\/span><span class=\"td-metric-label\">\u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf dynamic observed \u03c3\u03c4\u03bf CartPole, \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 429,0 static<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">462,9<\/span><span class=\"td-metric-label\">\u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf dynamic blind \u03c3\u03c4\u03bf CartPole, \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 410,0 static<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">151,4<\/span><span class=\"td-metric-label\">\u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf dynamic observed \u03c3\u03c4\u03bf BipedalWalker, \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 31,0 static<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">592,3<\/span><span class=\"td-metric-label\">\u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf dynamic blind \u03c3\u03c4\u03bf lateral CarRacing, \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 103,6 static<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"state-space-coverage\">\u0393\u03b9\u03b1\u03c4\u03af \u03b7 \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03c4\u03bf\u03c5 state space \u03b4\u03b5\u03bd \u03b5\u03be\u03b7\u03b3\u03b5\u03af \u03c4\u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7<\/h2>\n<p>\u0397 \u03c0\u03b9\u03bf \u03b5\u03bd\u03b4\u03b9\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03c3\u03b1 \u03af\u03c3\u03c9\u03c2 \u03c0\u03b1\u03c1\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c1\u03bd\u03b7\u03c4\u03b9\u03ba\u03ae: \u03bf\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b5\u03c2 \u03b5\u03c0\u03b9\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2 \u03b4\u03b5\u03bd \u03c3\u03c5\u03bd\u03bf\u03b4\u03b5\u03cd\u03c4\u03b7\u03ba\u03b1\u03bd \u03b1\u03c0\u03cc \u03b5\u03c5\u03c1\u03cd\u03c4\u03b5\u03c1\u03b7 \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03c4\u03bf\u03c5 \u03c7\u03ce\u03c1\u03bf\u03c5 \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03c9\u03bd. \u03a3\u03c4\u03bf CartPole, \u03bf\u03b9 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03b4\u03b9\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c0\u03b1\u03c1\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b7\u03c2 \u03c7\u03c9\u03c1\u03af\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd \u03c3\u03b5 12 bins \u03b7 \u03ba\u03b1\u03b8\u03b5\u03bc\u03af\u03b1, \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03ce\u03bd\u03c4\u03b1\u03c2 20.736 hypercells. \u03a0\u03b1\u03c1\u03cc\u03c4\u03b9 \u03c4\u03b1 rewards \u03b4\u03b9\u03ad\u03c6\u03b5\u03c1\u03b1\u03bd \u03b1\u03b9\u03c3\u03b8\u03b7\u03c4\u03ac \u03bc\u03b5\u03c4\u03b1\u03be\u03cd schedules, \u03b7 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03b8\u03b7\u03ba\u03b5 \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 \u03bc\u03b5\u03c4\u03b1\u03be\u03cd 6,54% \u03ba\u03b1\u03b9 6,83%.<\/p>\n<p>\u0397 one-way ANOVA \u03b4\u03b5\u03bd \u03b2\u03c1\u03ae\u03ba\u03b5 \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2 \u03c3\u03c4\u03b7\u03bd \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7, \u03bc\u03b5 p \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc 0,05. \u03a4\u03bf \u03af\u03b4\u03b9\u03bf \u03bc\u03b7\u03b4\u03b5\u03bd\u03b9\u03ba\u03cc \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c3\u03b5 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03c0\u03c1\u03bf\u03b2\u03bf\u03bb\u03ad\u03c2 \u03c4\u03bf\u03c5 24-\u03b4\u03b9\u03ac\u03c3\u03c4\u03b1\u03c4\u03bf\u03c5 observation space \u03c4\u03bf\u03c5 BipedalWalker. \u0391\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03b7 \u03c0\u03b1\u03c1\u03ac\u03bb\u03bb\u03b7\u03bb\u03b7 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7, \u03c0\u03bf\u03c5 \u03b1\u03cd\u03be\u03b7\u03c3\u03b5 \u03c4\u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 contexts \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03b1 policy updates, \u03b4\u03b5\u03bd \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ae\u03b3\u03b1\u03b3\u03b5 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac \u03c4\u03b1 \u03bf\u03c6\u03ad\u03bb\u03b7 \u03c4\u03b7\u03c2 \u03b5\u03bd\u03b4\u03bf-\u03b5\u03c0\u03b5\u03b9\u03c3\u03bf\u03b4\u03b9\u03b1\u03ba\u03ae\u03c2 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae\u03c2 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae\u03c2.<\/p>\n<p>\u0397 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1 \u03c4\u03c9\u03bd \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ad\u03c9\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf scheduling \u03b1\u03bd\u03b1\u03b4\u03b9\u03bf\u03c1\u03b3\u03b1\u03bd\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf training signal \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf\u03bd \u03ae\u03b4\u03b7 \u03b5\u03c0\u03b9\u03c3\u03ba\u03b5\u03c0\u03c4\u03cc\u03bc\u03b5\u03bd\u03bf \u03c7\u03ce\u03c1\u03bf. \u0394\u03b5\u03bd \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bf agent \u03bd\u03b1 \u03b4\u03b5\u03b9 \u03c0\u03bf\u03bb\u03cd \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2\u00b7 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03b4\u03b5\u03b9 \u03c0\u03b9\u03bf \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b5\u03c2 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b5\u03c2 \u03b6\u03b5\u03c5\u03b3\u03ce\u03bd state-context. \u0395\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd, \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03cc\u03bb\u03b7 \u03b7 \u03bd\u03ad\u03b1 \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c3\u03c4\u03b1 \u03c0\u03c1\u03ce\u03c4\u03b1 50.000 \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c4\u03bf\u03c5 CartPole, \u03b5\u03bd\u03ce \u03c4\u03b1 \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b1 \u03c3\u03c4\u03ac\u03b4\u03b9\u03b1 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c3\u03b1\u03bd \u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc 1% \u03b1\u03bd\u03ac \u03c0\u03b1\u03c1\u03ac\u03b8\u03c5\u03c1\u03bf \u03ba\u03b1\u03b9 \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03ba\u03b1\u03b8\u03cc\u03bb\u03bf\u03c5 \u03bd\u03ad\u03b1 cells. \u0391\u03c5\u03c4\u03cc \u03bc\u03b5\u03c4\u03b1\u03c4\u03bf\u03c0\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03c1\u03bf\u03c3\u03bf\u03c7\u03ae \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c0\u03bf\u03c3\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03bc\u03c0\u03b5\u03b9\u03c1\u03b9\u03ce\u03bd \u03c3\u03c4\u03b7 \u03c3\u03b5\u03b9\u03c1\u03ac \u03bc\u03b5 \u03c4\u03b7\u03bd \u03bf\u03c0\u03bf\u03af\u03b1 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9.<\/p>\n<h2 id=\"multi-stage-curriculum\">\u0391\u03c0\u03cc \u03ad\u03bd\u03b1 schedule \u03c3\u03b5 curriculum \u03c0\u03bf\u03bb\u03bb\u03ce\u03bd \u03c3\u03c4\u03b1\u03b4\u03af\u03c9\u03bd<\/h2>\n<p>\u0388\u03bd\u03b1 \u03bc\u03cc\u03bd\u03bf \u03bc\u03bf\u03c4\u03af\u03b2\u03bf \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae\u03c2 \u03b3\u03b9\u03b1 \u03cc\u03bb\u03bf \u03c4\u03bf training \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b7\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b2\u03ad\u03bb\u03c4\u03b9\u03c3\u03c4\u03bf. \u03a3\u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03ae, \u03ad\u03bd\u03b1\u03c2 agent \u03af\u03c3\u03c9\u03c2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03c0\u03b9\u03b8\u03b5\u03c4\u03b9\u03ba\u03ae \u03b5\u03be\u03b5\u03c1\u03b5\u03cd\u03bd\u03b7\u03c3\u03b7, \u03b5\u03bd\u03ce \u03b1\u03c1\u03b3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03c9\u03c6\u03b5\u03bb\u03b5\u03af\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c0\u03b9\u03bf \u03b5\u03c3\u03c4\u03b9\u03b1\u03c3\u03bc\u03ad\u03bd\u03b7 refinement. \u03a4\u03bf framework \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 multi-stage curricula, \u03cc\u03c0\u03bf\u03c5 \u03ba\u03ac\u03b8\u03b5 \u03c3\u03c4\u03ac\u03b4\u03b9\u03bf \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b1 \u03c1\u03c5\u03b8\u03bc\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf constant, sinusoidal \u03ae cosine annealing scheduler \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03ba\u03cc\u03c0\u03c4\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae\u03c2.<\/p>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b1\u03bd Optuna \u03bc\u03b5 TPE sampler. \u03a3\u03c4\u03bf CartPole \u03ad\u03ba\u03b1\u03bd\u03b1\u03bd 240 trials \u03bc\u03b5 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 seeds, \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 \u03c3\u03c4\u03ac\u03b4\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ac 150.000 \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1. \u03a3\u03c4\u03bf BipedalWalker \u03ad\u03ba\u03b1\u03bd\u03b1\u03bd 120 trials \u03bc\u03b5 \u03c4\u03c1\u03af\u03b1 seeds, \u03c4\u03c1\u03af\u03b1 \u03c3\u03c4\u03ac\u03b4\u03b9\u03b1 \u03c4\u03c9\u03bd 500.000 \u03b2\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc budget 1,5 \u03b5\u03ba\u03b1\u03c4\u03bf\u03bc\u03bc\u03cd\u03c1\u03b9\u03bf \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1. \u03a3\u03c4\u03b7 \u03c3\u03c5\u03bd\u03ad\u03c7\u03b5\u03b9\u03b1 \u03b5\u03c0\u03b1\u03bd\u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b1\u03bd \u03c4\u03b9\u03c2 \u03ba\u03bf\u03c1\u03c5\u03c6\u03b1\u03af\u03b5\u03c2 \u03b4\u03b9\u03b1\u03bc\u03bf\u03c1\u03c6\u03ce\u03c3\u03b5\u03b9\u03c2 \u03bc\u03b5 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 seeds \u03b3\u03b9\u03b1 \u03c0\u03b9\u03bf \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03b5\u03ba\u03c4\u03af\u03bc\u03b7\u03c3\u03b7.<\/p>\n<p>\u0397 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b7 \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03b2\u03c1\u03ae\u03ba\u03b5 curricula \u03c0\u03bf\u03c5 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b1\u03bd \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b1 \u03c4\u03b1 static baselines, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03be\u03b5\u03c0\u03ad\u03c1\u03b1\u03c3\u03b1\u03bd \u03bc\u03b5 \u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b1 \u03c4\u03bf\u03bd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf single-stage scheduler \u03c0\u03bf\u03c5 \u03b5\u03af\u03c7\u03b5 \u03b2\u03c1\u03b5\u03b8\u03b5\u03af \u03bc\u03ad\u03c3\u03c9 \u03b5\u03ba\u03c4\u03b5\u03bd\u03bf\u03cd\u03c2 grid search. \u0391\u03c5\u03c4\u03cc \u03b4\u03b5\u03bd \u03b1\u03ba\u03c5\u03c1\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03c1\u03bf\u03c3\u03ad\u03b3\u03b3\u03b9\u03c3\u03b7. \u0394\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9 \u03c4\u03b7 \u03c7\u03b5\u03b9\u03c1\u03bf\u03ba\u03af\u03bd\u03b7\u03c4\u03b7 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae, \u03b1\u03bb\u03bb\u03ac \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c5\u03c2 \u03c3\u03b5 computational search. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c4\u03bf \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 preliminary finding \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03b3\u03ba\u03b7 \u03b3\u03b9\u03b1 curriculum learning \u03c0\u03bf\u03c5 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c0\u03c1\u03cc\u03bf\u03b4\u03bf \u03c4\u03bf\u03c5 agent.<\/p>\n<h2 id=\"omades-ai-agents-aftomatismoi\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03c7\u03c4\u03af\u03b6\u03bf\u03c5\u03bd agents \u03ba\u03b1\u03b9 \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2<\/h2>\n<p>\u0397 \u03ac\u03bc\u03b5\u03c3\u03b7 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03b1\u03c6\u03bf\u03c1\u03ac simulated control tasks, \u03cc\u03c7\u03b9 <a href=\"https:\/\/twodots.gr\/6-ai-agents-customer-support-gia-epicheiriseis\/\">customer support agents<\/a>, <a href=\"https:\/\/twodots.gr\/37-praktika-ai-workflows-marketing-choris-katargoun-marketer\/\">marketing workflows \u03bc\u03b5 AI<\/a> \u03ae e-commerce operations. \u03a9\u03c3\u03c4\u03cc\u03c3\u03bf, \u03b7 \u03b1\u03c1\u03c7\u03ae \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b7\u03b8\u03b5\u03af \u03c9\u03c2 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03ae \u03c5\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ad\u03c2. \u0391\u03bd \u03ad\u03bd\u03b1\u03c2 <a href=\"https:\/\/twodots.gr\/ai-agents-paragogi-leitourgikes-astochies\/\">AI agent \u03c3\u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae<\/a> \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03ad\u03c7\u03b5\u03b9 \u03c3\u03b5 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03c4\u03b9\u03bc\u03ce\u03bd, latency, \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03c9\u03bd \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03c9\u03bd, \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03ae \u03c3\u03b5\u03b9\u03c1\u03ac\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03b9\u03ce\u03bd, \u03b7 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03c3\u03b5\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03c5\u03c7\u03b1\u03af\u03b5\u03c2 \u03c3\u03c4\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03b1\u03bb\u03bb\u03ac \u03ba\u03b1\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ac \u03b4\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03b5\u03c2 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ad\u03c2 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03ad\u03bd\u03b1 training \u03ae evaluation trajectory.<\/p>\n<p>\u03a4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03b2\u03ae\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03bf\u03c1\u03b9\u03c3\u03c4\u03b5\u03af \u03c4\u03bf context \u03bc\u03b5 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03bf\u03cd\u03c2 \u03cc\u03c1\u03bf\u03c5\u03c2. \u03a0\u03bf\u03b9\u03b1 \u03c0\u03b1\u03c1\u03ac\u03bc\u03b5\u03c4\u03c1\u03bf\u03c2 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd agent; \u0395\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03c4\u03b1\u03c3\u03b7 \u03c6\u03cc\u03c1\u03c4\u03bf\u03c5, \u03ba\u03b1\u03b8\u03c5\u03c3\u03c4\u03ad\u03c1\u03b7\u03c3\u03b7 API, \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03b9\u03c3\u03cc\u03b4\u03bf\u03c5 \u03ae \u03b4\u03b9\u03b1\u03b8\u03b5\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 inventory; \u03a4\u03bf \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bf\u03cd\u03bd patterns \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03b5\u03b8\u03bf\u03cd\u03bd \u03bc\u03b5 \u03ad\u03bd\u03b1 \u03c3\u03b1\u03c6\u03ad\u03c2 <a href=\"https:\/\/twodots.gr\/transition-complexity-profile-ai-world-models\/\">Transition Complexity Profile<\/a> \u03c0\u03bf\u03c5 \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03bf\u03b9\u03c7\u03bf\u03cd\u03bd \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03ba\u03b9\u03bd\u03b4\u03cd\u03bd\u03bf\u03c5\u03c2: drift \u03b3\u03b9\u03b1 \u03c3\u03c4\u03b1\u03b4\u03b9\u03b1\u03ba\u03ae \u03c5\u03c0\u03bf\u03b2\u03ac\u03b8\u03bc\u03b9\u03c3\u03b7, piecewise constant \u03b3\u03b9\u03b1 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03ba\u03b1\u03b8\u03b5\u03c3\u03c4\u03ce\u03c4\u03bf\u03c2, jumps \u03b3\u03b9\u03b1 \u03b1\u03b9\u03c6\u03bd\u03af\u03b4\u03b9\u03b1 \u03b1\u03c3\u03c4\u03bf\u03c7\u03af\u03b1, periodic schedules \u03b3\u03b9\u03b1 \u03b5\u03c0\u03bf\u03c7\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ae \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03b1\u03bd\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03b1\u03b9\u03c7\u03bc\u03ad\u03c2.<\/p>\n<p>\u03a4\u03bf \u03c4\u03c1\u03af\u03c4\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b7\u03b8\u03b5\u03af \u03ba\u03b1\u03b8\u03b1\u03c1\u03cc\u03c2 \u03bf \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 training \u03ba\u03b1\u03b9 evaluation. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03c3\u03b5 \u03c3\u03c4\u03b1\u03c4\u03b9\u03ba\u03ac, \u03c0\u03c1\u03bf\u03ba\u03b1\u03b8\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 contexts \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03ce\u03c3\u03b5\u03b9 \u03c4\u03b7 \u03b3\u03b5\u03bd\u03af\u03ba\u03b5\u03c5\u03c3\u03b7. \u039c\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b1 <a href=\"https:\/\/twodots.gr\/crate-elegchos-mobile-ai-agent-epitychia-asfaleia\/\">step-level \u03c4\u03b5\u03ba\u03bc\u03ae\u03c1\u03b9\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2<\/a>, frozen test sets \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae OOD \u03c3\u03b5\u03bd\u03ac\u03c1\u03b9\u03b1. \u0391\u03bd \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 \u03c3\u03c5\u03bd\u03b5\u03c7\u03ce\u03c2 \u03c4\u03bf schedule \u03ba\u03bf\u03b9\u03c4\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03c2 \u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 evaluation \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1, \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03bf\u03c2 \u03bd\u03b1 \u03b2\u03b5\u03bb\u03c4\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9 \u03c4\u03bf test \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03c3\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03b8\u03b5\u03ba\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1.<\/p>\n<div class=\"td-decision-band\">\n<div class=\"td-decision-band-content\">\n<p class=\"td-decision-band-kicker\">\u0391\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03bf\u03cd<\/p>\n<p class=\"td-decision-band-title\">\u03a4\u03bf schedule \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b9\u03c3\u03c4\u03ac \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf failure mode<\/p>\n<p>\u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03c4\u03b5 drift \u03b3\u03b9\u03b1 \u03c3\u03c4\u03b1\u03b4\u03b9\u03b1\u03ba\u03ae \u03c5\u03c0\u03bf\u03b2\u03ac\u03b8\u03bc\u03b9\u03c3\u03b7, periodic \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae \u03b3\u03b9\u03b1 \u03b5\u03c0\u03bf\u03c7\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1, piecewise constant \u03b3\u03b9\u03b1 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03ba\u03b1\u03b8\u03b5\u03c3\u03c4\u03ce\u03c4\u03bf\u03c2 \u03ba\u03b1\u03b9 sudden jumps \u03b3\u03b9\u03b1 \u03b1\u03b9\u03c6\u03bd\u03af\u03b4\u03b9\u03b1 \u03b1\u03c3\u03c4\u03bf\u03c7\u03af\u03b1. \u0397 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03b9\u03b1\u03ba\u03bf\u03c3\u03bc\u03b7\u03c4\u03b9\u03ba\u03cc hyperparameter: \u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03c0\u03af\u03b5\u03c3\u03b7 \u03b8\u03b1 \u03bc\u03ac\u03b8\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c1\u03c1\u03bf\u03c6\u03ac \u03bf agent.<\/p>\n<\/div>\n<\/div>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u03a0\u03b9\u03bb\u03bf\u03c4\u03b9\u03ba\u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 dynamic context \u03c3\u03b5 7 \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 1<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03bf context \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03bf agent<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03bc\u03af\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03ae, \u03cc\u03c0\u03c9\u03c2 latency API, \u03b4\u03b9\u03b1\u03b8\u03b5\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03bf\u03c5, \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03b9\u03c3\u03cc\u03b4\u03bf\u03c5, \u03ad\u03bd\u03c4\u03b1\u03c3\u03b7 \u03c6\u03bf\u03c1\u03c4\u03af\u03bf\u03c5 \u03ae \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 inventory.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 2<\/span><strong>\u03a7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03ae\u03c3\u03c4\u03b5 \u03c4\u03bf\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c7\u03c1\u03bf\u03bd\u03b9\u03c3\u03bc\u03cc \u03c4\u03b7\u03c2 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae\u03c2<\/strong>\n<p>\u039e\u03b5\u03c7\u03c9\u03c1\u03af\u03c3\u03c4\u03b5 \u03b1\u03c1\u03b3\u03cc drift, \u03c0\u03b5\u03c1\u03b9\u03bf\u03b4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1, \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03ba\u03b1\u03b8\u03b5\u03c3\u03c4\u03ce\u03c4\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03b9\u03c6\u03bd\u03af\u03b4\u03b9\u03b1 jumps \u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf schedule \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc operational risk.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 3<\/span><strong>\u039a\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 \u03b1\u03bc\u03b5\u03c4\u03ac\u03b2\u03bb\u03b7\u03c4\u03bf evaluation grid<\/strong>\n<p>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 ID, OOD-low \u03ba\u03b1\u03b9 OOD-high \u03c3\u03b5\u03bd\u03ac\u03c1\u03b9\u03b1 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf tuning \u03ba\u03b1\u03b9 \u03bc\u03b7\u03bd \u03c4\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b5 \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03b5\u03c0\u03b9\u03bb\u03ad\u03b3\u03b5\u03c4\u03b5 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b7\u03c0\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf schedule.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 4<\/span><strong>\u03a3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 static, observed \u03ba\u03b1\u03b9 blind<\/strong>\n<p>\u03a4\u03c1\u03ad\u03be\u03c4\u03b5 \u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 budgets \u03ba\u03b1\u03b9 seeds \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03ce\u03c3\u03b5\u03c4\u03b5 \u03c4\u03b7\u03bd \u03b1\u03be\u03af\u03b1 \u03c4\u03b7\u03c2 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae\u03c2 \u03b4\u03bf\u03bc\u03ae\u03c2 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03be\u03af\u03b1 \u03c4\u03bf\u03c5 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03bf\u03c5 context feature.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 5<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03b1\u03bd\u03ac \u03ba\u03b1\u03b8\u03b5\u03c3\u03c4\u03ce\u03c2, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03bd \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf<\/strong>\n<p>\u03a0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03ae\u03c3\u03c4\u03b5 ID \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b4\u03cd\u03bf OOD \u03ac\u03ba\u03c1\u03b1, worst-case failures, latency, \u03c0\u03b1\u03c1\u03b5\u03bc\u03b2\u03ac\u03c3\u03b5\u03b9\u03c2 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03bc\u03b7 \u03b1\u03bd\u03b1\u03c3\u03c4\u03c1\u03ad\u03c8\u03b9\u03bc\u03b7\u03c2 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 6<\/span><strong>\u0395\u03bb\u03ad\u03b3\u03be\u03c4\u03b5 \u03b1\u03b9\u03c3\u03b8\u03b7\u03c4\u03ae\u03c1\u03b5\u03c2, normalization \u03ba\u03b1\u03b9 leakage<\/strong>\n<p>\u0394\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b5 \u03b5\u03bb\u03bb\u03b9\u03c0\u03ad\u03c2, \u03ba\u03b1\u03b8\u03c5\u03c3\u03c4\u03b5\u03c1\u03b7\u03bc\u03ad\u03bd\u03bf \u03ae \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03bf context \u03ba\u03b1\u03b9 \u03b2\u03b5\u03b2\u03b1\u03b9\u03c9\u03b8\u03b5\u03af\u03c4\u03b5 \u03cc\u03c4\u03b9 \u03c4\u03b1 bounds \u03b4\u03b5\u03bd \u03ba\u03c9\u03b4\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd \u03ba\u03c1\u03c5\u03c6\u03ac \u03c4\u03bf evaluation set.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 7<\/span><strong>\u039e\u03b5\u03ba\u03b9\u03bd\u03ae\u03c3\u03c4\u03b5 \u03c3\u03b5 shadow mode \u03bc\u03b5 audit trail<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 context, action, \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03ba\u03b1\u03b9 human override \u03c0\u03c1\u03b9\u03bd \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c8\u03b5\u03c4\u03b5 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ad\u03c2 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b5\u03c2, \u03bc\u03b5 \u03c3\u03b1\u03c6\u03ae rollback \u03ba\u03b1\u03b9 approval gates.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<h2 id=\"pliroforia-context-paragogi\">\u0397 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 context \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03c9\u03c1\u03b5\u03ac\u03bd<\/h2>\n<p>\u03a3\u03b5 production \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1, \u03ad\u03bd\u03b1 context feature \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03b1\u03b9\u03c3\u03b8\u03b7\u03c4\u03ae\u03c1\u03b1, event stream \u03ae metadata. \u0397 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1, \u03b7 \u03ba\u03b1\u03b8\u03c5\u03c3\u03c4\u03ad\u03c1\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03cc\u03c1\u03b9\u03ac \u03c4\u03bf\u03c5 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c7\u03b5\u03b9\u03c1\u03bf\u03ba\u03af\u03bd\u03b7\u03c4\u03b1 \u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1, \u03c6\u03c5\u03c3\u03b9\u03ba\u03ac \u03b5\u03cd\u03bb\u03bf\u03b3\u03b1 normalization bounds. \u0391\u03c5\u03c4\u03cc \u03b1\u03c0\u03bf\u03c6\u03b5\u03cd\u03b3\u03b5\u03b9 saturation, \u03b1\u03bb\u03bb\u03ac \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 limitation: \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 domain knowledge \u03b3\u03b9\u03b1 \u03c3\u03c9\u03c3\u03c4\u03ae \u03ba\u03bb\u03b9\u03bc\u03ac\u03ba\u03c9\u03c3\u03b7.<\/p>\n<p>\u0397 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 observed \u03ae blind \u03c3\u03c7\u03b5\u03c4\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03b7 \u03b4\u03b9\u03b1\u03ba\u03c5\u03b2\u03ad\u03c1\u03bd\u03b7\u03c3\u03b7. \u0388\u03bd\u03b1 agent \u03c0\u03bf\u03c5 \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03c1\u03b7\u03c4\u03ac context \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03c4\u03bf\u03c5, \u03b1\u03bb\u03bb\u03ac \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03bd\u03b1 \u03b5\u03be\u03b1\u03c1\u03c4\u03b7\u03b8\u03b5\u03af \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 feature \u03c0\u03bf\u03c5 \u03bb\u03b5\u03af\u03c0\u03b5\u03b9 \u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03bf. \u0388\u03bd\u03b1\u03c2 blind agent \u03b1\u03bd\u03b1\u03b3\u03ba\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03b3\u03af\u03bd\u03b5\u03b9 \u03b1\u03bd\u03b8\u03b5\u03ba\u03c4\u03b9\u03ba\u03cc\u03c2 \u03bc\u03ad\u03c3\u03c9 \u03c4\u03c9\u03bd \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b9\u03bc\u03c9\u03bd \u03c3\u03c5\u03bd\u03b5\u03c0\u03b5\u03b9\u03ce\u03bd, \u03b1\u03bb\u03bb\u03ac \u03af\u03c3\u03c9\u03c2 \u03c7\u03ac\u03c3\u03b5\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1. \u03a4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 CartPole \u03ba\u03b1\u03b9 CarRacing \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03b3\u03b9\u03b1\u03c4\u03af \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03b4\u03cd\u03bf \u03b5\u03ba\u03b4\u03bf\u03c7\u03ad\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03c5\u03bd \u03c3\u03c4\u03bf test matrix.<\/p>\n<h2 id=\"oria-meletis\">\u03a4\u03b9 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03b1\u03ba\u03cc\u03bc\u03b7 \u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1<\/h2>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 preprint \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b4\u03b7\u03bb\u03ce\u03bd\u03bf\u03c5\u03bd \u03c3\u03b1\u03c6\u03b5\u03af\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2. \u03a4\u03b1 schedules \u03b5\u03b9\u03c3\u03ac\u03b3\u03bf\u03c5\u03bd \u03b5\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd hyperparameters, \u03b5\u03bd\u03ce \u03c4\u03b1 observable modes \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 bounds \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7\u03c2. \u0397 multi-stage \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03bc\u03ad\u03c3\u03c9 Optuna \u03b5\u03af\u03bd\u03b1\u03b9 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae. \u03a4\u03b1 \u03c4\u03c1\u03af\u03b1 environments \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd \u03b1\u03c0\u03cc \u03b1\u03c0\u03bb\u03cc control \u03ad\u03c9\u03c2 vision-based \u03bf\u03b4\u03ae\u03b3\u03b7\u03c3\u03b7, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03bf\u03cd\u03bd \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03b8\u03b5\u03bc\u03b5\u03bb\u03b9\u03ce\u03c3\u03bf\u03c5\u03bd \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03cc \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1 \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 RL \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1.<\/p>\n<p>\u0395\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd, \u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c3\u03b5 \u03c3\u03c4\u03b1\u03c4\u03b9\u03ba\u03cc context \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03ba\u03cc\u03c0\u03b9\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03ae \u03b3\u03b9\u03b1 \u03c4\u03b7\u03bd \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03ae \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03bc\u03b5\u03c4\u03c1\u03ac \u03c4\u03b7\u03bd \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7 \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03bc\u03b7 \u03c3\u03c4\u03b1\u03c4\u03b9\u03ba\u03ac deployments. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf reward \u03b9\u03c3\u03bf\u03b4\u03c5\u03bd\u03b1\u03bc\u03b5\u03af \u03bc\u03b5 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1. \u0393\u03b9\u03b1 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ad\u03c2 \u03c5\u03c8\u03b7\u03bb\u03bf\u03cd \u03c1\u03af\u03c3\u03ba\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b1 safety constraints, <a href=\"https:\/\/twodots.gr\/cdrl-ai-mathainei-apo-aitia-apotychias\/\">\u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03b1\u03b9\u03c4\u03af\u03b1\u03c2 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1\u03c2<\/a> \u03ba\u03b1\u03b9 real-world validation.<\/p>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03bf\u03c5\u03bd \u03c9\u03c2 \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b1 \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 adaptive curriculum learning \u03c0\u03bf\u03c5 \u03b8\u03b1 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b7 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03b4\u03bf\u03bc\u03ae \u03b2\u03ac\u03c3\u03b5\u03b9 \u03c0\u03c1\u03bf\u03cc\u03b4\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03c0\u03b9\u03bf \u03c0\u03c1\u03bf\u03b7\u03b3\u03bc\u03ad\u03bd\u03b7 \u03b5\u03bd\u03c3\u03c9\u03bc\u03ac\u03c4\u03c9\u03c3\u03b7 \u03c4\u03bf\u03c5 context \u03c3\u03b5 latent representations \u03ae world models. \u039c\u03ad\u03c7\u03c1\u03b9 \u03bd\u03b1 \u03c5\u03c0\u03ac\u03c1\u03be\u03bf\u03c5\u03bd \u03c4\u03ad\u03c4\u03bf\u03b9\u03b5\u03c2 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ad\u03c2, \u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03c7\u03c1\u03ae\u03c3\u03b7 \u03c4\u03bf\u03c5 Dynamic Context Scheduling \u03b5\u03af\u03bd\u03b1\u03b9 \u03c9\u03c2 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03bf \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd \u03ba\u03b1\u03b9 regularization, \u03cc\u03c7\u03b9 \u03c9\u03c2 \u03ad\u03c4\u03bf\u03b9\u03bc\u03b7 \u03b5\u03b3\u03b3\u03cd\u03b7\u03c3\u03b7 robustness.<\/p>\n<aside class=\"td-article-note\">\n<p><strong>Evidence status:<\/strong> \u03c0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 arXiv v1 \u03c4\u03b7\u03c2 21\u03b7\u03c2 \u0391\u03c5\u03b3\u03bf\u03cd\u03c3\u03c4\u03bf\u03c5 2026 \u03c3\u03b5 \u03c4\u03c1\u03af\u03b1 simulated control environments. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03bd\u03b5\u03b9 zero-shot generalization \u03c3\u03b5 \u03c0\u03c1\u03bf\u03ba\u03b1\u03b8\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 static contexts\u00b7 \u03b4\u03b5\u03bd \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03bd\u03b5\u03b9 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1 \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c1\u03bf\u03ad\u03c2 \u03bf\u03cd\u03c4\u03b5 \u03b5\u03b3\u03b3\u03c5\u03ac\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf reward \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf operational risk.<\/p>\n<\/aside>\n<h2 id=\"orimo-plaisio-ai-robustness\">\u0388\u03bd\u03b1 \u03c0\u03b9\u03bf \u03ce\u03c1\u03b9\u03bc\u03bf \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03b3\u03b9\u03b1 AI robustness<\/h2>\n<p>\u03a4\u03bf \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc\u03c4\u03b5\u03c1\u03bf \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03b3\u03c1\u03ac\u03c8\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd sinusoidal scheduler. \u0395\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03b3\u03b5\u03bd\u03af\u03ba\u03b5\u03c5\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b1\u03c0\u03cc \u03c4\u03bf \u03c0\u03cc\u03c3\u03b1 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1. \u0395\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03c0\u03ce\u03c2 \u03bf\u03c1\u03b3\u03b1\u03bd\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03b5\u03bc\u03c0\u03b5\u03b9\u03c1\u03af\u03b1 \u03c3\u03c4\u03bf\u03bd \u03c7\u03c1\u03cc\u03bd\u03bf. \u0397 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03bc\u03c0\u03bf\u03b4\u03af\u03c3\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c5\u03c0\u03b5\u03c1-\u03b5\u03be\u03b5\u03b9\u03b4\u03af\u03ba\u03b5\u03c5\u03c3\u03b7, \u03bd\u03b1 \u03b1\u03bd\u03b1\u03b3\u03ba\u03ac\u03c3\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03b9 \u03b5\u03c5\u03ad\u03bb\u03b9\u03ba\u03c4\u03b7 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c8\u03b5\u03b9 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03ba\u03c1\u03cd\u03b2\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03c3\u03c4\u03b1\u03c4\u03b9\u03ba\u03ac benchmarks.<\/p>\n<p>\u0393\u03b9\u03b1 \u03cc\u03c3\u03bf\u03c5\u03c2 \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd AI agents, \u03b1\u03c5\u03c4\u03cc \u03bf\u03b4\u03b7\u03b3\u03b5\u03af \u03c3\u03b5 \u03c0\u03b9\u03bf \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03ad\u03c2 \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2: \u03a0\u03bf\u03b9\u03b5\u03c2 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ad\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b9\u03b8\u03b1\u03bd\u03ad\u03c2; \u03a0\u03bf\u03b9\u03b5\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03c1\u03b1\u03c4\u03ad\u03c2 \u03c3\u03c4\u03bf\u03bd agent; \u03a0\u03bf\u03b9\u03b5\u03c2 \u03c3\u03c5\u03bc\u03b2\u03b1\u03af\u03bd\u03bf\u03c5\u03bd \u03c3\u03c4\u03b1\u03b4\u03b9\u03b1\u03ba\u03ac \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03b5\u03c2 \u03b1\u03c0\u03cc\u03c4\u03bf\u03bc\u03b1; \u039c\u03b5\u03c4\u03c1\u03ac\u03bc\u03b5 \u03bc\u03cc\u03bd\u03bf \u03bc\u03ad\u03c3\u03b7 \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03ae \u03ba\u03b1\u03b9 ID\/OOD \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac; \u0388\u03c7\u03bf\u03c5\u03bc\u03b5 \u03b5\u03bb\u03ad\u03b3\u03be\u03b5\u03b9 \u03b1\u03bd \u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03bf\u03c6\u03b5\u03af\u03bb\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03b8\u03b5\u03ba\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ae \u03b1\u03c0\u03bb\u03ce\u03c2 \u03c3\u03b5 leakage \u03ba\u03b1\u03b9 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf sampling;<\/p>\n<p>\u03a4\u03bf DynamicCARLEnv \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf, open-source \u03c4\u03c1\u03cc\u03c0\u03bf \u03bd\u03b1 \u03b4\u03b9\u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03b8\u03bf\u03cd\u03bd \u03b1\u03c5\u03c4\u03ad\u03c2 \u03bf\u03b9 \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c3\u03b5 CARL environments. \u03a4\u03bf paper, \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c0\u03bb\u03b5\u03c5\u03c1\u03ac \u03c4\u03bf\u03c5, \u03b4\u03af\u03bd\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03c0\u03b9\u03bf \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03b9\u03b4\u03ad\u03b1: \u03b7 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03ad\u03bd\u03b1\u03bd \u03bc\u03b5\u03c4\u03b1\u03b2\u03b1\u03bb\u03bb\u03cc\u03bc\u03b5\u03bd\u03bf \u03ba\u03cc\u03c3\u03bc\u03bf \u03b4\u03b5\u03bd \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03c0\u03ac\u03bd\u03c4\u03b1 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b5\u03b9\u03c2 \u03ba\u03ac\u03b8\u03b5 \u03bc\u03b5\u03bb\u03bb\u03bf\u03bd\u03c4\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7. \u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03be\u03b5\u03ba\u03b9\u03bd\u03ae\u03c3\u03b5\u03b9 \u03bc\u03b5 \u03c4\u03bf \u03bd\u03b1 \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 \u03c4\u03b7 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03c0\u03af\u03b5\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03b4\u03ad\u03c7\u03b5\u03c4\u03b1\u03b9 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c0\u03c1\u03b9\u03bd \u03b2\u03b3\u03b5\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03b5\u03c1\u03b3\u03b1\u03c3\u03c4\u03ae\u03c1\u03b9\u03bf.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-kicker\">AI \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03af \u03bc\u03b5 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae<\/p>\n<p class=\"td-service-cta-title\">\u0394\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b5 \u03c4\u03bf\u03bd agent \u03c0\u03c1\u03b9\u03bd \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc workflow<\/p>\n<p>\u0397 TWO DOTS \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03b5\u03b9 AI \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd \u03bc\u03b5 frozen evaluation scenarios, \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1, approval gates \u03ba\u03b1\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 rollback, \u03ce\u03c3\u03c4\u03b5 drift, latency \u03ba\u03b1\u03b9 \u03b1\u03c3\u03c4\u03bf\u03c7\u03af\u03b5\u03c2 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03c9\u03bd \u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ce\u03bd\u03c4\u03b1\u03b9 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03bf\u03ba\u03c4\u03ae\u03c3\u03bf\u03c5\u03bd \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u0394\u03b5\u03af\u03c4\u03b5 \u03bb\u03cd\u03c3\u03b5\u03b9\u03c2 AI \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd<\/a><\/div>\n<\/div>\n<\/section>\n<section id=\"sychnes-erotiseis\" class=\"td-faq-section\">\n<div class=\"td-faq\">\n<p class=\"td-faq-heading\">\u0427\u0435\u0441\u0442\u043e \u0437\u0430\u0434\u0430\u0432\u0430\u043d\u0438 \u0432\u044a\u043f\u0440\u043e\u0441\u0438<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf Dynamic Context Scheduling;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 contextual reinforcement learning \u03cc\u03c0\u03bf\u03c5 \u03bc\u03af\u03b1 \u03c0\u03b1\u03c1\u03ac\u03bc\u03b5\u03c4\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03bf\u03c2 \u03bc\u03b5\u03c4\u03b1\u03b2\u03ac\u03bb\u03bb\u03b5\u03c4\u03b1\u03b9 \u03b2\u03ac\u03c3\u03b5\u03b9 \u03c0\u03c1\u03bf\u03b3\u03c1\u03ac\u03bc\u03bc\u03b1\u03c4\u03bf\u03c2 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf training episode, \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae \u03bc\u03ad\u03c7\u03c1\u03b9 \u03c4\u03bf \u03c4\u03ad\u03bb\u03bf\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03b1\u03c0\u03cc \u03c4\u03bf domain randomization;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03bf domain randomization \u03c3\u03c5\u03bd\u03ae\u03b8\u03c9\u03c2 \u03b4\u03b5\u03b9\u03b3\u03bc\u03b1\u03c4\u03bf\u03bb\u03b7\u03c0\u03c4\u03b5\u03af \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03b1 \u03c7\u03c9\u03c1\u03af\u03c2 \u03c1\u03b7\u03c4\u03ae \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03b4\u03bf\u03bc\u03ae. \u0395\u03b4\u03ce \u03b7 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b1 patterns, \u03cc\u03c0\u03c9\u03c2 sinusoidal drift, random walk, piecewise constant regimes \u03ae sudden jumps.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a3\u03b5 \u03c0\u03bf\u03b9\u03b1 \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b7\u03ba\u03b5;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b5 contextualized CartPole, BipedalWalker \u03ba\u03b1\u03b9 CarRacing, \u03bc\u03b5\u03c4\u03b1\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03b1\u03c2 \u03bc\u03ae\u03ba\u03bf\u03c2 \u03c3\u03c4\u03cd\u03bb\u03bf\u03c5 \u03ae offsets \u03c6\u03bf\u03c1\u03c4\u03af\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03ba\u03ad\u03bd\u03c4\u03c1\u03bf\u03c5 \u03bc\u03ac\u03b6\u03b1\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0392\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b5 \u03c4\u03b7\u03bd out-of-distribution \u03b3\u03b5\u03bd\u03af\u03ba\u03b5\u03c5\u03c3\u03b7;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a3\u03c4\u03b1 \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03b1, \u03bf\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf\u03b9 dynamic schedulers \u03be\u03b5\u03c0\u03ad\u03c1\u03b1\u03c3\u03b1\u03bd \u03c4\u03b1 \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b1 static baselines \u03c3\u03c4\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc checkpoint. \u0397 \u03ad\u03ba\u03c4\u03b1\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03bf\u03c6\u03ad\u03bb\u03bf\u03c5\u03c2 \u03b5\u03be\u03b1\u03c1\u03c4\u03ae\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc \u03c4\u03bf \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd, \u03c4\u03bf schedule \u03ba\u03b1\u03b9 \u03c4\u03bf \u03b1\u03bd \u03bf agent \u03ad\u03b2\u03bb\u03b5\u03c0\u03b5 \u03c4\u03bf context.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf state-space coverage;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0397 \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03c3\u03c4\u03bf CartPole \u03ad\u03bc\u03b5\u03b9\u03bd\u03b5 \u03bc\u03b5\u03c4\u03b1\u03be\u03cd 6,54% \u03ba\u03b1\u03b9 6,83% \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b4\u03b9\u03ad\u03c6\u03b5\u03c1\u03b5 \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03b1\u03bd\u03ac condition. \u03a4\u03bf \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03c3\u03b5\u03b9\u03c1\u03ac \u03c4\u03c9\u03bd state-context pairs, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2, \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03b7 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bf agent \u03bd\u03b1 \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03c4\u03bf context;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9 \u03c0\u03ac\u03bd\u03c4\u03b1. \u03a4\u03bf observed mode \u03b2\u03bf\u03ae\u03b8\u03b7\u03c3\u03b5 \u03c3\u03c4\u03bf CartPole \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf BipedalWalker, \u03b5\u03bd\u03ce \u03c3\u03c4\u03bf lateral CarRacing \u03c4\u03bf dynamic blind condition \u03ae\u03c4\u03b1\u03bd \u03c3\u03b1\u03c6\u03ce\u03c2 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03c3\u03c4\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc checkpoint. \u0397 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b1\u03bd\u03ac \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0397 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b7 \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 curriculum \u03bd\u03af\u03ba\u03b7\u03c3\u03b5 \u03c4\u03bf grid search;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9 \u03bc\u03b5 \u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b1. \u03a4\u03b1 multi-stage schedules \u03c4\u03bf\u03c5 Optuna \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b1\u03bd \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03c4\u03b1 static baselines, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03be\u03b5\u03c0\u03ad\u03c1\u03b1\u03c3\u03b1\u03bd \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac \u03c4\u03bf\u03bd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf single-stage scheduler \u03ba\u03b1\u03b9 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd \u03bb\u03af\u03b3\u03b1 seeds \u03ba\u03b1\u03c4\u03ac \u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03c3\u03c4\u03b5\u03af \u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 AI agents;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a9\u03c2 \u03c5\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7 \u03b3\u03b9\u03b1 controlled testing, \u03bd\u03b1\u03b9\u00b7 \u03c9\u03c2 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b4\u03b5\u03b9\u03b3\u03bc\u03ad\u03bd\u03b7 \u03c3\u03c5\u03bd\u03c4\u03b1\u03b3\u03ae, \u03cc\u03c7\u03b9. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b4\u03b9\u03ba\u03ac \u03c3\u03b1\u03c2 contexts, frozen OOD tests, operational safety metrics, human approval gates \u03ba\u03b1\u03b9 real-world validation.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">\u0418\u0437\u0442\u043e\u0447\u043d\u0438\u0446\u0438<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2608.20799\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 Dynamic Context Scheduling: Learning Beyond the Static Universe<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/mrazmartin\/dynamicCARL\" target=\"_blank\" rel=\"noopener\">University of Freiburg \u2014 DynamicCARL open-source repository<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2110.02102\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning<\/a><\/li>\n<li><a href=\"https:\/\/www.nist.gov\/itl\/ai-risk-management-framework\" target=\"_blank\" rel=\"noopener\">NIST \u2014 AI Risk Management Framework<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u03a4\u03bf Dynamic Context Scheduling \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf context \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf training episode \u03ce\u03c3\u03c4\u03b5 \u03bf\u03b9 AI agents \u03bd\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 drift, jumps \u03ba\u03b1\u03b9 \u03ac\u03b3\u03bd\u03c9\u03c3\u03c4\u03b5\u03c2 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2.<\/p>","protected":false},"author":1,"featured_media":96192,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[6506,9261,20160,7477,18034],"class_list":["post-96185","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-ai-agents","tag-ai-strategy","tag-contextual-ai","tag-machine-learning","tag-reinforcement-learning"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":8}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/96185","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/comments?post=96185"}],"version-history":[{"count":2,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/96185\/revisions"}],"predecessor-version":[{"id":96194,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/96185\/revisions\/96194"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/media\/96192"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/media?parent=96185"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/categories?post=96185"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/tags?post=96185"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}