{"id":90176,"date":"2026-08-28T18:14:58","date_gmt":"2026-08-28T15:14:58","guid":{"rendered":"https:\/\/twodots.gr\/?p=90176"},"modified":"2026-08-28T18:15:00","modified_gmt":"2026-08-28T15:15:00","slug":"transition-complexity-profile-ai-world-models","status":"publish","type":"post","link":"https:\/\/twodots.gr\/ro\/transition-complexity-profile-ai-world-models\/","title":{"rendered":"\u03a0\u03cc\u03c3\u03bf \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03ad\u03bd\u03b1\u03c2 \u03ba\u03cc\u03c3\u03bc\u03bf\u03c2 AI; \u03a4\u03bf Transition Complexity Profile \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b1 benchmarks"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>\u03a4\u03bf score \u03b5\u03bd\u03cc\u03c2 AI world model \u03b4\u03b5\u03bd \u03bb\u03ad\u03b5\u03b9 \u03c0\u03cc\u03c3\u03bf \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03bf \u03ae\u03c4\u03b1\u03bd \u03c4\u03bf \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd \u03c0\u03bf\u03c5 \u03ba\u03bb\u03ae\u03b8\u03b7\u03ba\u03b5 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b5\u03b9.<\/strong> \u03a4\u03bf Transition Complexity Profile, \u03ae TCP, \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b7\u03bb\u03ce\u03bd\u03bf\u03c5\u03bc\u03b5 \u03bc\u03b1\u03b6\u03af \u03c4\u03bf branching \u03c4\u03c9\u03bd \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03c9\u03bd \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03c9\u03bd, \u03c4\u03b7\u03bd \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03c0\u03cc \u03ac\u03bb\u03bb\u03bf\u03c5\u03c2 agents \u03ba\u03b1\u03b9 \u03c4\u03bf \u03b2\u03ac\u03b8\u03bf\u03c2 \u03bc\u03bd\u03ae\u03bc\u03b7\u03c2 \u03ae \u03c7\u03c9\u03c1\u03b9\u03ba\u03bf\u03cd context \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7.<\/p>\n<\/div>\n<p>\u0394\u03cd\u03bf AI \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b5\u03c4\u03c5\u03c7\u03b1\u03af\u03bd\u03bf\u03c5\u03bd \u03c0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u2019 \u03cc\u03bb\u03b1 \u03b1\u03c5\u03c4\u03ac \u03bd\u03b1 \u03ad\u03c7\u03bf\u03c5\u03bd \u03bb\u03cd\u03c3\u03b5\u03b9 \u03b5\u03bd\u03c4\u03b5\u03bb\u03ce\u03c2 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1. \u03a4\u03bf \u03ad\u03bd\u03b1 \u03af\u03c3\u03c9\u03c2 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03bd\u03c4\u03b5\u03c4\u03b5\u03c1\u03bc\u03b9\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03bc\u03bf. \u03a4\u03bf \u03ac\u03bb\u03bb\u03bf \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c7\u03b5\u03b9\u03c1\u03b9\u03c3\u03c4\u03b5\u03af \u03c4\u03c5\u03c7\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1, \u03ba\u03c1\u03c5\u03c6\u03ae \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1, \u03b1\u03bd\u03c4\u03b9\u03c0\u03ac\u03bb\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03b3\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bf\u03c1\u03b1\u03c4\u03ad\u03c2 \u03c0\u03bf\u03bb\u03cd \u03b1\u03c1\u03b3\u03cc\u03c4\u03b5\u03c1\u03b1. \u0391\u03bd \u03c4\u03bf benchmark \u03b4\u03b5\u03bd \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03b1\u03c5\u03c4\u03ad\u03c2 \u03c4\u03b9\u03c2 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2, \u03c4\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc score \u03bc\u03bf\u03b9\u03ac\u03b6\u03b5\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ad\u03c2 \u03b1\u03bb\u03bb\u03ac \u03bc\u03ad\u03bd\u03b5\u03b9 \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ac \u03b5\u03bb\u03bb\u03b9\u03c0\u03ad\u03c2.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03c4\u03bf \u03ba\u03b5\u03bd\u03cc \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b5\u03af \u03bd\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c8\u03b5\u03b9 \u03c4\u03bf position paper \u03c4\u03bf\u03c5 Lele Cao, \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ae \u03c4\u03c9\u03bd King AI Labs \u03ba\u03b1\u03b9 Microsoft Gaming, \u03c4\u03bf \u03bf\u03c0\u03bf\u03af\u03bf \u03ad\u03b3\u03b9\u03bd\u03b5 \u03b4\u03b5\u03ba\u03c4\u03cc \u03c3\u03c4\u03bf ICML 2026 Position Paper Track. \u0397 \u03c0\u03c1\u03cc\u03c4\u03b1\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03ad\u03bf world model \u03ae \u03b1\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf\u03c2 reinforcement learning. \u0395\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 versioned measurement layer \u03b3\u03b9\u03b1 \u03c4\u03bf transition problem \u03c0\u03bf\u03c5 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd, interface, \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae \u03b1\u03bd\u03b1\u03c6\u03bf\u03c1\u03ac\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03c1\u03c9\u03c4\u03cc\u03ba\u03bf\u03bb\u03bb\u03bf.<\/p>\n<div class=\"td-article-note\">\n<p><strong>\u03a4\u03b9 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03b5\u03c4\u03b5:<\/strong> \u03c4\u03bf TCP \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03ae \u03c0\u03c1\u03cc\u03c4\u03b1\u03c3\u03b7, \u03cc\u03c7\u03b9 \u03ae\u03b4\u03b7 \u03ba\u03b1\u03b8\u03b9\u03b5\u03c1\u03c9\u03bc\u03ad\u03bd\u03bf standard. \u03a4\u03b1 budgets, \u03bf\u03b9 probes \u03ba\u03b1\u03b9 \u03c4\u03b1 TCP cards \u03c0\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03bf\u03c4\u03b5\u03b9\u03bd\u03cc\u03bc\u03b5\u03bd\u03bf\u03b9 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b1 \u03b5\u03c0\u03b9\u03ba\u03c5\u03c1\u03c9\u03bc\u03ad\u03bd\u03b7 \u03b2\u03b9\u03bf\u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ae \u03c0\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">\u03a0\u03b5\u03c1\u03b9\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03b1<\/div>\n<ul>\n<li><a href=\"#benchmark-score-transition-problem\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf benchmark score \u03b4\u03b5\u03bd \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c4\u03bf transition problem<\/a><\/li>\n<li><a href=\"#ti-metra-tcp\">\u03a4\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ac \u03ba\u03b1\u03b9 \u03c4\u03b9 \u03b4\u03b5\u03bd \u03bc\u03b5\u03c4\u03c1\u03ac \u03c4\u03bf TCP<\/a><\/li>\n<li><a href=\"#treis-aksones-tcp\">\u039f\u03b9 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03ac\u03be\u03bf\u03bd\u03b5\u03c2 \u03c4\u03bf\u03c5 Transition Complexity Profile<\/a><\/li>\n<li><a href=\"#tic-tac-toe-interface\">\u03a4\u03b9 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03c4\u03bf \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1 \u03c4\u03bf\u03c5 tic-tac-toe<\/a><\/li>\n<li><a href=\"#tcp-lite-tcp-std\">TCP-Lite \u03ba\u03b1\u03b9 TCP-Std: \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bc\u03b5 \u03b4\u03b7\u03bb\u03c9\u03bc\u03ad\u03bd\u03bf budget<\/a><\/li>\n<li><a href=\"#simulator-logs\">Simulator \u03ae logs: \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7, \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc\u03c2 \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2<\/a><\/li>\n<li><a href=\"#wrapper-allazei-kernel\">\u038c\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1\u03c2 wrapper \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03c4\u03bf benchmark<\/a><\/li>\n<li><a href=\"#tcp-card\">\u03a4\u03b9 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03ad\u03c7\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf TCP card<\/a><\/li>\n<li><a href=\"#epicheirimatiki-axiologisi-ai\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03c4\u03bf TCP \u03b3\u03b9\u03b1 \u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 AI<\/a><\/li>\n<li><a href=\"#epta-vimata-axiologisis\">\u0395\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c0\u03c1\u03b9\u03bd \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 AI \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1<\/a><\/li>\n<li><a href=\"#oria-tcp\">\u03a4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03c4\u03bf\u03c5 TCP \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc \u03ba\u03c1\u03b9\u03c4\u03ae\u03c1\u03b9\u03bf<\/a><\/li>\n<\/ul>\n<\/div>\n<h2 id=\"benchmark-score-transition-problem\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf benchmark score \u03b4\u03b5\u03bd \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c4\u03bf transition problem<\/h2>\n<p>\u03a4\u03b1 \u03c3\u03cd\u03b3\u03c7\u03c1\u03bf\u03bd\u03b1 game world models \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c5\u03bd\u03ae\u03b8\u03c9\u03c2 \u03bc\u03b5 downstream return, prediction loss \u03ae \u03bf\u03c0\u03c4\u03b9\u03ba\u03ae \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 rollouts. \u039a\u03ac\u03b8\u03b5 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ac \u03c3\u03b5 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7, \u03b1\u03bb\u03bb\u03ac \u03ba\u03b1\u03bc\u03af\u03b1 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03b1\u03c0\u03cc \u03bc\u03cc\u03bd\u03b7 \u03c4\u03b7\u03c2 \u03c0\u03cc\u03c3\u03bf \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03b7 \u03ae\u03c4\u03b1\u03bd \u03b7 \u03bc\u03b5\u03c4\u03ac\u03b2\u03b1\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c4\u03c1\u03ad\u03c7\u03bf\u03c5\u03c3\u03b1 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1 \u03c3\u03c4\u03b7\u03bd \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b7 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7.<\/p>\n<p>\u0388\u03bd\u03b1 \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c3\u03c4\u03bf Atari \u03b4\u03b5\u03bd \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b1 \u03bc\u03b5 \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c3\u03c4\u03bf Quake II, \u03c3\u03c4\u03bf Minecraft, \u03c3\u03b5 \u03c0\u03b1\u03b9\u03c7\u03bd\u03af\u03b4\u03b9 \u03ba\u03b1\u03c1\u03c4\u03ce\u03bd \u03ae \u03c3\u03b5 prompt-generated \u03b4\u03b9\u03b1\u03b4\u03c1\u03b1\u03c3\u03c4\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03bc\u03bf. \u0391\u03bb\u03bb\u03ac \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03c0\u03b1\u03b9\u03c7\u03bd\u03af\u03b4\u03b9 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03b1\u03c0\u03b5\u03af \u03c3\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc prediction problem. \u0397 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 pixels, tokens, latent states \u03ae \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf board. \u03a4\u03bf context window \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03b4\u03cd\u03bf frames \u03ae \u03bc\u03b5\u03b3\u03ac\u03bb\u03b7 \u03b9\u03c3\u03c4\u03bf\u03c1\u03af\u03b1 \u03b5\u03bd\u03b5\u03c1\u03b3\u03b5\u03b9\u03ce\u03bd. \u0388\u03bd\u03b1 evaluation protocol \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 stochasticity \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03ac\u03bb\u03bb\u03bf \u03cc\u03c7\u03b9.<\/p>\n<p>\u0397 \u03af\u03b4\u03b9\u03b1 \u03c0\u03b1\u03b3\u03af\u03b4\u03b1 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03ad\u03c1\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b1 games. \u03a3\u03b5 speech, support automation \u03ae e-commerce agents, \u03b4\u03cd\u03bf \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03bf\u03c5\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc context, \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac tools \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae \u03c0\u03b5\u03c1\u03b9\u03c3\u03c4\u03b1\u03c4\u03b9\u03ba\u03ce\u03bd. \u0393\u03b9\u2019 \u03b1\u03c5\u03c4\u03cc \u03b7 <a href=\"https:\/\/twodots.gr\/every-eval-ever-ai-benchmarks-diafaneia\/\">\u03b4\u03b9\u03b1\u03c6\u03ac\u03bd\u03b5\u03b9\u03b1 \u03c3\u03c4\u03b1 AI benchmarks<\/a> \u03ba\u03b1\u03b9 \u03b7 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 <a href=\"https:\/\/twodots.gr\/asr-benchmarks-ypsili-vathmologia-apomagnitofonisi\/\">\u03c5\u03c8\u03b7\u03bb\u03ae \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03ba\u03b1\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7<\/a> \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03bf\u03cb\u03c0\u03bf\u03b8\u03ad\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7.<\/p>\n<h2 id=\"ti-metra-tcp\">\u03a4\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ac \u03ba\u03b1\u03b9 \u03c4\u03b9 \u03b4\u03b5\u03bd \u03bc\u03b5\u03c4\u03c1\u03ac \u03c4\u03bf TCP<\/h2>\n<p>\u03a4\u03bf TCP \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c4\u03bf induced transition kernel \u03c3\u03c4\u03bf \u03b4\u03b7\u03bb\u03c9\u03bc\u03ad\u03bd\u03bf interface. \u039c\u03b5 \u03b1\u03c0\u03bb\u03ac \u03bb\u03cc\u03b3\u03b9\u03b1, \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03c0\u03cc\u03c3\u03b5\u03c2 \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b9\u03b8\u03b1\u03bd\u03ad\u03c2, \u03c0\u03cc\u03c3\u03bf \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03bf\u03c5\u03bd \u03bf\u03b9 \u03ac\u03bb\u03bb\u03bf\u03b9 agents \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7\u03bd \u03b5\u03be\u03ad\u03bb\u03b9\u03be\u03b7 \u03ba\u03b1\u03b9 \u03c0\u03cc\u03c3\u03bf \u03bc\u03b1\u03ba\u03c1\u03b9\u03bd\u03ae \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7. \u039f\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03b9\u03c3\u03c7\u03cd\u03bf\u03c5\u03bd \u03bc\u03cc\u03bd\u03bf \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03c4\u03bf interface, \u03c4\u03bf protocol \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd reference distribution \u03c0\u03bf\u03c5 \u03c4\u03b9\u03c2 \u03b4\u03b7\u03bc\u03b9\u03bf\u03cd\u03c1\u03b3\u03b7\u03c3\u03b1\u03bd.<\/p>\n<p>\u0394\u03b5\u03bd \u03c3\u03c5\u03bc\u03c0\u03c5\u03ba\u03bd\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7 \u00ab\u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03af\u03b1 \u03b5\u03bd\u03cc\u03c2 \u03c0\u03b1\u03b9\u03c7\u03bd\u03b9\u03b4\u03b9\u03bf\u03cd\u00bb \u03c3\u03b5 \u03ad\u03bd\u03b1\u03bd \u03bc\u03b1\u03b3\u03b9\u03ba\u03cc \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc. \u0394\u03b5\u03bd \u03bc\u03b5\u03c4\u03c1\u03ac \u03c4\u03b7\u03bd \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03ae \u03c0\u03bf\u03bb\u03c5\u03c0\u03bb\u03bf\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03c9\u03bd \u03ba\u03b1\u03bd\u03cc\u03bd\u03c9\u03bd, \u03c4\u03b7 \u03b8\u03b5\u03c9\u03c1\u03b7\u03c4\u03b9\u03ba\u03ae \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03af\u03b1, \u03c4\u03bf \u03c0\u03cc\u03c3\u03bf \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b2\u03c1\u03b5\u03b8\u03b5\u03af \u03bd\u03b9\u03ba\u03b7\u03c6\u03cc\u03c1\u03b1 \u03c3\u03c4\u03c1\u03b1\u03c4\u03b7\u03b3\u03b9\u03ba\u03ae \u03ae \u03c4\u03bf approximation error \u03bc\u03b9\u03b1\u03c2 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7\u03c2 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae\u03c2. \u0388\u03bd\u03b1\u03c2 \u03c7\u03b1\u03bf\u03c4\u03b9\u03ba\u03cc\u03c2 \u03b1\u03bb\u03bb\u03ac \u03bd\u03c4\u03b5\u03c4\u03b5\u03c1\u03bc\u03b9\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc\u03c2 simulator \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03bf\u03c2 \u03b3\u03b9\u03b1 \u03ad\u03bd\u03b1\u03bd predictor \u03ba\u03b1\u03b9 \u03c4\u03b1\u03c5\u03c4\u03cc\u03c7\u03c1\u03bf\u03bd\u03b1 \u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03c7\u03b1\u03bc\u03b7\u03bb\u03ae transition entropy. \u0388\u03bd\u03b1\u03c2 \u03b1\u03c0\u03bb\u03cc\u03c2 stochastic sampler \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03c5\u03c8\u03b7\u03bb\u03ae entropy \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b5\u03cd\u03ba\u03bf\u03bb\u03bf\u03c2 \u03c9\u03c2 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae.<\/p>\n<p>\u03a4\u03bf TCP \u03b5\u03c0\u03bf\u03bc\u03ad\u03bd\u03c9\u03c2 \u03c3\u03c5\u03bc\u03c0\u03bb\u03b7\u03c1\u03ce\u03bd\u03b5\u03b9, \u03b4\u03b5\u03bd \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03ac, return, planning performance, visual fidelity \u03ba\u03b1\u03b9 task-specific safety tests. \u0391\u03bd \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03b8\u03ad\u03bb\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03bc\u03c0\u03b9\u03c3\u03c4\u03b5\u03c5\u03c4\u03b5\u03af agent \u03c0\u03bf\u03c5 \u03b4\u03c1\u03b1, \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd <a href=\"https:\/\/twodots.gr\/epalithefsi-politikon-reinforcement-learning-ai-agent\/\">\u03b5\u03c0\u03b1\u03bb\u03ae\u03b8\u03b5\u03c5\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae\u03c2 reinforcement learning<\/a> \u03ba\u03b1\u03b9 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03c4\u03c9\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ce\u03bd side effects.<\/p>\n<h2 id=\"treis-aksones-tcp\">\u039f\u03b9 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03ac\u03be\u03bf\u03bd\u03b5\u03c2 \u03c4\u03bf\u03c5 Transition Complexity Profile<\/h2>\n<p>\u039f \u03c0\u03c1\u03ce\u03c4\u03bf\u03c2 \u03ac\u03be\u03bf\u03bd\u03b1\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ac \u03c4\u03bf branching \u03c4\u03b7\u03c2 \u03bc\u03b5\u03c4\u03ac\u03b2\u03b1\u03c3\u03b7\u03c2. \u0393\u03b9\u03b1 state-action pairs \u03b1\u03c0\u03cc \u03b4\u03b7\u03bb\u03c9\u03bc\u03ad\u03bd\u03b7 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae, \u03c4\u03bf paper \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af conditional entropy \u03ba\u03b1\u03b9 collision entropy \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c4\u03b7 \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03b7 \u03c3\u03b5 effective branching factor. \u0397 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 perplexity-like: \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c0\u03bb\u03ae\u03b8\u03bf\u03c2 \u03c0\u03b9\u03b8\u03b1\u03bd\u03ce\u03bd \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03c9\u03bd \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03c9\u03bd \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03ad\u03bd\u03b1 \u03b8\u03b5\u03c9\u03c1\u03b7\u03c4\u03b9\u03ba\u03cc maximum.<\/p>\n<p>\u039f \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf\u03c2 \u03ac\u03be\u03bf\u03bd\u03b1\u03c2 \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03b7\u03bd \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03b5\u03bd\u03cc\u03c2 \u03b1\u03bd\u03c4\u03b9\u03c0\u03ac\u03bb\u03bf\u03c5 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03c4\u03b5\u03c1\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b1 \u03b5\u03bd\u03cc\u03c2 \u03c0\u03bb\u03b7\u03b8\u03c5\u03c3\u03bc\u03bf\u03cd \u03b1\u03bd\u03c4\u03b9\u03c0\u03ac\u03bb\u03c9\u03bd. \u03a0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03c4\u03b5\u03c3\u03c4 \u03b5\u03c0\u03b9\u03c1\u03c1\u03bf\u03ae\u03c2: \u03bf\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b5\u03c2 \u03c4\u03bf\u03c5 \u03ac\u03bb\u03bb\u03bf\u03c5 agent \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03c0\u03c1\u03ac\u03b3\u03bc\u03b1\u03c4\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b7 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf; \u0391\u03bd opponent actions \u03ae \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b1 IDs \u03b4\u03b5\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03c5\u03bd \u03c3\u03c4\u03b1 logs, \u03bf \u03ac\u03be\u03bf\u03bd\u03b1\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03b7\u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03bc\u03b7 \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bd\u03b1 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c5\u03b8\u03b1\u03af\u03c1\u03b5\u03c4\u03b1 \u03b1\u03c0\u03cc pixels.<\/p>\n<p>\u039f \u03c4\u03c1\u03af\u03c4\u03bf\u03c2 \u03ac\u03be\u03bf\u03bd\u03b1\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ac dependency span. Standardized probes \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03bc\u03ae\u03ba\u03b7 \u03b9\u03c3\u03c4\u03bf\u03c1\u03b9\u03ba\u03bf\u03cd \u03ba\u03b1\u03b9, \u03cc\u03c0\u03bf\u03c5 \u03ad\u03c7\u03b5\u03b9 \u03bd\u03cc\u03b7\u03bc\u03b1, \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03b1\u03ba\u03c4\u03af\u03bd\u03b1 \u03c7\u03c9\u03c1\u03b9\u03ba\u03bf\u03cd context. \u0391\u03bd \u03c4\u03bf predictive loss \u03c3\u03c5\u03bd\u03b5\u03c7\u03af\u03b6\u03b5\u03b9 \u03bd\u03b1 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03cc\u03bb\u03bf \u03c4\u03bf \u03b5\u03cd\u03c1\u03bf\u03c2, \u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03bd\u03b1\u03c6\u03bf\u03c1\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 \u00ab\u03b4\u03b5\u03bd \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03b8\u03b7\u03ba\u03b5 saturation \u03c3\u03c4\u03bf \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b7\u03bc\u03ad\u03bd\u03bf range\u00bb \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd \u03ad\u03b3\u03b9\u03bd\u03b5 Markov.<\/p>\n<div class=\"td-comparison\">\n<p class=\"td-comparison-title\">\u03a4\u03c1\u03b5\u03b9\u03c2 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c0\u03b7\u03b3\u03ad\u03c2 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03af\u03b1\u03c2<\/p>\n<div class=\"td-comparison-cards td-comparison-cards--horizontal\">\n<div class=\"td-comparison-grid\">\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-kicker\">\u0386\u03be\u03bf\u03bd\u03b1\u03c2 I<\/p>\n<h3>Branching \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b7\u03c2 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7\u03c2<\/h3>\n<p>\u03a0\u03cc\u03c3\u03b5\u03c2 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03ae\u03c3\u03bf\u03c5\u03bd \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03b4\u03b7\u03bb\u03c9\u03bc\u03ad\u03bd\u03bf state-action pair \u03ba\u03b1\u03b9 \u03c0\u03ce\u03c2 \u03ba\u03b1\u03c4\u03b1\u03bd\u03ad\u03bc\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03ac \u03c4\u03bf\u03c5\u03c2.<\/p>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-kicker\">\u0386\u03be\u03bf\u03bd\u03b1\u03c2 II<\/p>\n<h3>\u0391\u03bb\u03bb\u03b7\u03bb\u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c1\u03c1\u03bf\u03ae<\/h3>\n<p>\u03a0\u03cc\u03c3\u03b7 \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03b9\u03c3\u03ac\u03b3\u03bf\u03c5\u03bd \u03ac\u03bb\u03bb\u03bf\u03b9 agents \u03ba\u03b1\u03b9 \u03c0\u03cc\u03c3\u03bf \u03bf\u03b9 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03ad\u03c2 \u03c4\u03bf\u03c5\u03c2 \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf next-state interface \u03c0\u03bf\u03c5 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03b2\u03bb\u03b5\u03c6\u03b8\u03b5\u03af.<\/p>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-kicker\">\u0386\u03be\u03bf\u03bd\u03b1\u03c2 III<\/p>\n<h3>\u039c\u03bd\u03ae\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03c7\u03c9\u03c1\u03b9\u03ba\u03cc context<\/h3>\n<p>\u03a0\u03cc\u03c3\u03bf \u03b9\u03c3\u03c4\u03bf\u03c1\u03b9\u03ba\u03cc \u03ae \u03c0\u03cc\u03c3\u03bf \u03b5\u03c5\u03c1\u03cd \u03bf\u03c0\u03c4\u03b9\u03ba\u03cc \u03c0\u03b5\u03b4\u03af\u03bf \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03ad\u03c7\u03c1\u03b9 \u03b7 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03b7 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03bd\u03b1 \u03c0\u03ac\u03c8\u03b5\u03b9 \u03bd\u03b1 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03bd\u03b5\u03b9 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ac \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u03a4\u03bf profile \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03ba\u03cc\u03c0\u03b9\u03bc\u03b1 \u03c0\u03bf\u03bb\u03c5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b1\u03c4\u03bf. \u0388\u03bd\u03b1 scalar leaderboard \u03b8\u03b1 \u03ad\u03ba\u03c1\u03c5\u03b2\u03b5 \u03b1\u03bd \u03b4\u03cd\u03bf \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03b5\u03cd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03bb\u03cc\u03b3\u03bf. \u0397 \u03af\u03b4\u03b9\u03b1 \u03b1\u03c1\u03c7\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03cc\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1 <a href=\"https:\/\/twodots.gr\/market-models-genetiki-ai-emporikes-apofaseis\/\">\u03b3\u03b5\u03bd\u03b5\u03c4\u03b9\u03ba\u03cc market model \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c0\u03bf\u03bb\u03c5\u03c0\u03bb\u03bf\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c3\u03b5 \u03b5\u03bc\u03c0\u03bf\u03c1\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7<\/a>: \u03c0\u03c1\u03b9\u03bd \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03cd\u03c3\u03bf\u03c5\u03bc\u03b5 \u03c4\u03bf output, \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bc\u03b5 \u03c0\u03bf\u03b9\u03b1 uncertainty \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03bf context \u03bc\u03bf\u03bd\u03c4\u03b5\u03bb\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd.<\/p>\n<h2 id=\"tic-tac-toe-interface\">\u03a4\u03b9 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03c4\u03bf \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1 \u03c4\u03bf\u03c5 tic-tac-toe<\/h2>\n<p>\u03a4\u03bf paper \u03b4\u03af\u03bd\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03c0\u03bb\u03ae\u03c1\u03c9\u03c2 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1 tic-tac-toe. \u03a4\u03bf interface \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf \u03c4\u03bf board 3\u00d73 \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03b2\u03ae\u03bc\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03ba\u03af\u03bd\u03b7\u03c3\u03b7 \u03c4\u03bf\u03c5 agent \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03c4\u03b7\u03bd \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03b1\u03bd\u03c4\u03b9\u03c0\u03ac\u03bb\u03bf\u03c5 \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b9\u03bb\u03ad\u03b3\u03b5\u03b9 \u03bf\u03bc\u03bf\u03b9\u03cc\u03bc\u03bf\u03c1\u03c6\u03b1 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03b9\u03c2 \u03bd\u03cc\u03bc\u03b9\u03bc\u03b5\u03c2 \u03ba\u03b9\u03bd\u03ae\u03c3\u03b5\u03b9\u03c2. \u039a\u03ac\u03c4\u03c9 \u03b1\u03c0\u03cc \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 probe distribution, \u03b7 \u03bc\u03ad\u03c3\u03b7 one-step entropy \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 1,906 bits \u03ba\u03b1\u03b9 \u03c4\u03bf effective branching factor \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 3,75.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-title\">\u03a4\u03bf worked example \u03c4\u03bf\u03c5 tic-tac-toe<\/p>\n<p class=\"td-chart-subtitle\">\u039f\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03b1\u03c6\u03bf\u03c1\u03bf\u03cd\u03bd \u03b1\u03c0\u03bf\u03ba\u03bb\u03b5\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 board, \u03c4\u03bf\u03bd \u03b4\u03b7\u03bb\u03c9\u03bc\u03ad\u03bd\u03bf \u03bf\u03c1\u03b9\u03c3\u03bc\u03cc \u03b2\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03bf\u03bd uniform-random \u03b1\u03bd\u03c4\u03af\u03c0\u03b1\u03bb\u03bf \u03c4\u03bf\u03c5 paper.<\/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\">1,906 bits<\/span><span class=\"td-metric-label\">\u03bc\u03ad\u03c3\u03b7 one-step entropy<\/span><span class=\"td-metric-note\">\u03c5\u03c0\u03cc \u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 random-play distribution<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">3,75<\/span><span class=\"td-metric-label\">effective branching factor<\/span><span class=\"td-metric-note\">\u03b1\u03c0\u03cc \u03c4\u03b7\u03bd collision entropy \u03c4\u03bf\u03c5 \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03bf\u03c2<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">2 bits<\/span><span class=\"td-metric-label\">median entropy<\/span><span class=\"td-metric-note\">\u03b1\u03bd\u03ac \u03b4\u03b7\u03bb\u03c9\u03bc\u03ad\u03bd\u03bf state-action pair<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">3 bits<\/span><span class=\"td-metric-label\">90\u03cc percentile<\/span><span class=\"td-metric-note\">\u03cc\u03c7\u03b9 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03c4\u03bf\u03c5 \u03c0\u03b1\u03b9\u03c7\u03bd\u03b9\u03b4\u03b9\u03bf\u03cd<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03b4\u03b5\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03ac\u03bb\u03bb\u03b7 chance source \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf interface \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03ba\u03b9\u03bd\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c4\u03bf\u03c5 \u03b1\u03bd\u03c4\u03b9\u03c0\u03ac\u03bb\u03bf\u03c5 \u03c0\u03b1\u03c1\u03ac\u03b3\u03bf\u03c5\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac boards, \u03c4\u03bf branching \u03b1\u03c0\u03bf\u03b4\u03af\u03b4\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03b1\u03bb\u03bb\u03b7\u03bb\u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7. \u039c\u03b5 \u03c4\u03bf \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 board \u03b7 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 Markov \u03ba\u03b1\u03b9 \u03c4\u03bf memory span \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03b2\u03ae\u03bc\u03b1. \u0391\u03bd \u03b1\u03bb\u03bb\u03ac\u03be\u03bf\u03c5\u03bc\u03b5 observation, step definition, opponent policy \u03ae distribution, \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bc\u03b5 \u03c4\u03bf \u03b1\u03bd\u03c4\u03b9\u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b4\u03b9\u03ba\u03b1\u03b9\u03bf\u03cd\u03bc\u03b1\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03b5\u03c0\u03b1\u03bd\u03b1\u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03bf\u03c5\u03bc\u03b5 \u03c4\u03b9\u03c2 \u03af\u03b4\u03b9\u03b5\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2.<\/p>\n<h2 id=\"tcp-lite-tcp-std\">TCP-Lite \u03ba\u03b1\u03b9 TCP-Std: \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bc\u03b5 \u03b4\u03b7\u03bb\u03c9\u03bc\u03ad\u03bd\u03bf budget<\/h2>\n<p>\u0397 \u03c0\u03c1\u03cc\u03c4\u03b1\u03c3\u03b7 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03b4\u03cd\u03bf versioned tiers. \u03a4\u03bf TCP-Lite-v1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af 5.000 sampled state-action pairs, \u03bf\u03ba\u03c4\u03ce resamples \u03b1\u03bd\u03ac pair \u03cc\u03c4\u03b1\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 reset, fixed probe budget 200 \u03b5\u03ba\u03b1\u03c4. tokens \u03ae \u03b9\u03c3\u03bf\u03b4\u03cd\u03bd\u03b1\u03bc\u03bf \u03b4\u03b7\u03bb\u03c9\u03bc\u03ad\u03bd\u03bf update budget \u03ba\u03b1\u03b9 \u03c4\u03c1\u03af\u03b1 seeds. \u03a4\u03bf TCP-Std-v1 \u03b1\u03bd\u03b5\u03b2\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b1 pairs \u03c3\u03b5 20.000, \u03c4\u03b1 resamples \u03c3\u03b5 32 \u03ba\u03b1\u03b9 \u03c4\u03bf probe budget \u03c3\u03b5 1 \u03b4\u03b9\u03c3. tokens \u03ae matched update budget, \u03bc\u03b5 \u03c4\u03c1\u03af\u03b1 seeds \u03ba\u03b1\u03b9 95% bootstrap confidence intervals.<\/p>\n<div class=\"td-comparison\">\n<p class=\"td-comparison-title\">\u0394\u03cd\u03bf tiers \u03bc\u03b5 \u03b5\u03bc\u03c6\u03b1\u03bd\u03ad\u03c2 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7\u03c2<\/p>\n<div class=\"td-comparison-cards td-comparison-cards--horizontal\">\n<div class=\"td-comparison-grid td-comparison-grid--two\">\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-kicker\">TCP-Lite-v1<\/p>\n<h3>\u03a0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf \u03b1\u03bb\u03bb\u03ac \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf preflight<\/h3>\n<p>5.000 pairs, \u03ad\u03c9\u03c2 8 resamples, 200 \u03b5\u03ba\u03b1\u03c4. probe tokens \u03ba\u03b1\u03b9 3 seeds. \u0394\u03b7\u03bb\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf compute \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf \u03ae \u03cc\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1 paper \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf behavior distribution.<\/p>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-kicker\">TCP-Std-v1<\/p>\n<h3>Reference card \u03b3\u03b9\u03b1 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc setup<\/h3>\n<p>20.000 pairs, \u03ad\u03c9\u03c2 32 resamples, 1 \u03b4\u03b9\u03c3. probe tokens, 3 seeds \u03ba\u03b1\u03b9 95% bootstrap intervals. \u03a0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03bc\u03af\u03b1 \u03c6\u03bf\u03c1\u03ac \u03b1\u03c0\u03cc \u03c4\u03bf\u03c5\u03c2 maintainers.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u03a4\u03b1 budgets \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2, \u03cc\u03c7\u03b9 \u03b5\u03b3\u03b3\u03c5\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1\u03c2. \u03a3\u03b5 \u03c5\u03c8\u03b7\u03bb\u03cc branching \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03b7\u03b8\u03bf\u03cd\u03bd \u03bb\u03af\u03b3\u03b5\u03c2 collisions \u03ae \u03bc\u03b5\u03b3\u03ac\u03bb\u03b1 intervals. \u03a4\u03bf paper \u03b6\u03b7\u03c4\u03ac \u03bd\u03b1 \u03b4\u03b7\u03bb\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c4\u03bf resolution limit \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03bf\u03c1\u03b1\u03c4\u03ac mean, median \u03ba\u03b1\u03b9 90\u03cc percentile, \u03b1\u03bd\u03c4\u03af \u03c4\u03bf budget \u03bd\u03b1 \u03b1\u03c5\u03be\u03ac\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b9\u03c9\u03c0\u03b7\u03c1\u03ac \u03bc\u03ad\u03c7\u03c1\u03b9 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03ba\u03cd\u03c8\u03b5\u03b9 \u03b2\u03bf\u03bb\u03b9\u03ba\u03cc \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1.<\/p>\n<div class=\"td-article-note\">\n<p><strong>\u039a\u03c1\u03af\u03c3\u03b9\u03bc\u03b7 \u03b4\u03b9\u03cc\u03c1\u03b8\u03c9\u03c3\u03b7 \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7\u03c2:<\/strong> 5.000 \u03ae 20.000 samples \u03b4\u03b5\u03bd \u03ba\u03ac\u03bd\u03bf\u03c5\u03bd \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b1 \u03bc\u03b9\u03b1 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7. \u0397 \u03b1\u03be\u03b9\u03bf\u03c0\u03b9\u03c3\u03c4\u03af\u03b1 \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03b1\u03c0\u03cc \u03c4\u03bf interface, \u03c4\u03b7 distribution, \u03c4\u03b1 resamples, \u03c4\u03b7\u03bd probe capacity, \u03c4\u03b1 seeds \u03ba\u03b1\u03b9 \u03c4\u03b1 confidence intervals.<\/p>\n<\/div>\n<h2 id=\"simulator-logs\">Simulator \u03ae logs: \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7, \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc\u03c2 \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2<\/h2>\n<p>\u039c\u03b5 \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03c3\u03c4\u03bf\u03bd simulator, \u03b7 \u03b9\u03b4\u03b1\u03bd\u03b9\u03ba\u03ae \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 reset \u03c3\u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03c5\u03c0\u03bf\u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03b7 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7, \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03c4\u03b7\u03c2 \u03af\u03b4\u03b9\u03b1\u03c2 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03b1\u03bd\u03cc\u03bc\u03b5\u03bd\u03b1 resamples \u03bc\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03b5\u03be\u03c9\u03b3\u03b5\u03bd\u03ae \u03c4\u03c5\u03c7\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ae opponents. \u0388\u03c4\u03c3\u03b9 \u03bf\u03b9 collision probabilities \u03ba\u03b1\u03b9 \u03c4\u03bf branching \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b5\u03ba\u03c4\u03b9\u03bc\u03b7\u03b8\u03bf\u03cd\u03bd \u03ac\u03bc\u03b5\u03c3\u03b1, \u03b1\u03c1\u03ba\u03b5\u03af \u03bd\u03b1 \u03b4\u03b7\u03bb\u03c9\u03b8\u03bf\u03cd\u03bd \u03b7 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7, \u03b7 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1, \u03c4\u03bf interface \u03ba\u03b1\u03b9 \u03ba\u03ac\u03b8\u03b5 stochastic source.<\/p>\n<p>\u03a3\u03b5 log-only datasets \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc \u03bd\u03b1 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b7\u03c6\u03b8\u03b5\u03af \u03b7 \u03af\u03b4\u03b9\u03b1 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03bc\u03b5\u03c4\u03ac\u03b2\u03b1\u03c3\u03b7. \u0395\u03ba\u03b5\u03af \u03c4\u03bf TCP \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 fixed probe families, \u03cc\u03c0\u03c9\u03c2 GRU \u03ba\u03b1\u03b9 Transformer, \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 cross-entropy \u03c3\u03b5 bits \u03b1\u03bd\u03ac token. \u0391\u03c5\u03c4\u03ae \u03b7 \u03c4\u03b9\u03bc\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 proxy \u03ae upper bound \u03c4\u03b7\u03c2 intrinsic entropy, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c3\u03c6\u03ac\u03bb\u03bc\u03b1 \u03c4\u03b7\u03c2 probe. \u0394\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03ac\u03bc\u03b5\u03c3\u03b7 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03c4\u03bf\u03c5 transition kernel.<\/p>\n<p>\u03a4\u03bf TCP-Ref v1.0 \u03b6\u03b7\u03c4\u03ac version strings, \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 training budget, \u03c4\u03c1\u03af\u03b1 seeds \u03ba\u03b1\u03b9 bootstrap intervals. \u03a0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 capacity sanity check: \u03b4\u03b9\u03c0\u03bb\u03b1\u03c3\u03b9\u03b1\u03c3\u03bc\u03cc \u03c4\u03bf\u03c5 \u03c0\u03bb\u03ac\u03c4\u03bf\u03c5\u03c2 \u03c4\u03b7\u03c2 Transformer probe \u03bc\u03b5 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf budget. \u0391\u03bd \u03c4\u03bf loss \u03b2\u03b5\u03bb\u03c4\u03b9\u03c9\u03b8\u03b5\u03af \u03c0\u03ac\u03bd\u03c9 \u03b1\u03c0\u03cc 0,1 bits \u03b1\u03bd\u03ac token, \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 probe-limited. \u0397 \u03b1\u03c1\u03c7\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ae \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 <a href=\"https:\/\/twodots.gr\/ai-agents-paragogi-leitourgikes-astochies\/\">AI agents \u03c0\u03bf\u03c5 \u03c0\u03b5\u03c1\u03bd\u03bf\u03cd\u03bd \u03c3\u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae<\/a>: \u03ad\u03bd\u03b1 proxy \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03c4\u03b1 \u03cc\u03c1\u03b9\u03ac \u03c4\u03bf\u03c5 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03bf\u03c1\u03b1\u03c4\u03ac.<\/p>\n<h2 id=\"wrapper-allazei-kernel\">\u038c\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1\u03c2 wrapper \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03c4\u03bf benchmark<\/h2>\n<p>\u03a4\u03bf TCP \u03b5\u03af\u03bd\u03b1\u03b9 protocol-sensitive. \u03a4\u03bf paper \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03b1 sticky actions \u03c4\u03bf\u03c5 Arcade Learning Environment: \u03bc\u03b5 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 0,25 \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03af\u03c4\u03b1\u03b9 \u03b7 \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bc\u03b5\u03bd\u03b7 \u03b1\u03bd\u03c4\u03af \u03b3\u03b9\u03b1 \u03c4\u03b7 \u03bd\u03ad\u03b1 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1. \u038c\u03c4\u03b1\u03bd \u03c4\u03b1 \u03b4\u03cd\u03bf \u03b5\u03bd\u03b4\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03b1 \u03bf\u03b4\u03b7\u03b3\u03bf\u03cd\u03bd \u03c3\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1, \u03b1\u03c5\u03c4\u03ae \u03b7 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 0,811 bits one-step \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2. \u03a4\u03bf game name \u03bc\u03ad\u03bd\u03b5\u03b9 \u03af\u03b4\u03b9\u03bf, \u03b1\u03bb\u03bb\u03ac \u03c4\u03bf induced kernel \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9.<\/p>\n<p>\u03a4\u03bf \u03af\u03b4\u03b9\u03bf \u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03b3\u03b9\u03b1 frame skip, reset distribution, tokenization, context construction \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 board state, pixels \u03ae latents. \u0388\u03bd\u03b1 fixed seed \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03b4\u03b5\u03bd \u03bb\u03cd\u03bd\u03b5\u03b9 \u03c4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1, \u03b1\u03bd \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b4\u03b5\u03bd \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03b5\u03af \u03c4\u03bf seed \u03ae \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03b7 \u03c4\u03b7\u03bd \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7. \u0397 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03c3\u03c4\u03bf information interface \u03c0\u03bf\u03c5 \u03c0\u03c1\u03ac\u03b3\u03bc\u03b1\u03c4\u03b9 \u03ad\u03c7\u03b5\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf.<\/p>\n<div class=\"td-decision-band\">\n<p class=\"td-decision-band-kicker\">\u039a\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2<\/p>\n<p><strong>\u038a\u03b4\u03b9\u03bf \u03cc\u03bd\u03bf\u03bc\u03b1 benchmark \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03af\u03b4\u03b9\u03bf prediction problem.<\/strong> \u0391\u03bd \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 interface, tokenizer, context window, wrapper, stickiness, frame skip, reset distribution \u03ae population \u03b1\u03bd\u03c4\u03b9\u03c0\u03ac\u03bb\u03c9\u03bd, \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03b9\u03c3\u03c4\u03b5\u03af \u03c9\u03c2 \u03bd\u03ad\u03bf benchmark-protocol-interface triple.<\/p>\n<\/div>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b5\u03af\u03b1 \u03b1\u03c5\u03c4\u03cc \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c5\u03c4\u03bf\u03cd\u03c3\u03b9\u03bf \u03c3\u03c4\u03b7 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 vendors. Score \u03c7\u03c9\u03c1\u03af\u03c2 versioned dataset, preprocessing, tool access, context, timeout, retry policy \u03ba\u03b1\u03b9 inference protocol \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af \u03b5\u03c0\u03b1\u03c1\u03ba\u03ae \u03b2\u03ac\u03c3\u03b7 \u03b1\u03b3\u03bf\u03c1\u03ac\u03c2. \u03a3\u03b5 self-hosted \u03bb\u03cd\u03c3\u03b5\u03b9\u03c2, \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/ai-agent-harnesses-elegchos-kostos-self-hosting\/\">agent harness \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf, \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03ba\u03b1\u03b9 failure modes<\/a>, \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf base model \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03af\u03b4\u03b9\u03bf.<\/p>\n<h2 id=\"tcp-card\">\u03a4\u03b9 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03ad\u03c7\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf TCP card<\/h2>\n<p>\u03a4\u03bf paper \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 \u03bf\u03b9 benchmark maintainers \u03bd\u03b1 \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03b5\u03cd\u03bf\u03c5\u03bd \u03ad\u03bd\u03b1 TCP card \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf environment, protocol \u03ba\u03b1\u03b9 interface. \u03a4\u03bf card \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03ad\u03c7\u03b5\u03b9 \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03bf\u03c2, state representation, tokenizer \u03ba\u03b1\u03b9 context window, reference distributions, \u03c0\u03b7\u03b3\u03ad\u03c2 stochasticity, TCP tier, probe versions, sample \u03ba\u03b1\u03b9 training budgets, \u03ba\u03b1\u03b8\u03ce\u03c2 \u03ba\u03b1\u03b9 measured values \u03bc\u03b5 \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1.<\/p>\n<p>\u0393\u03b9\u03b1 simulator-backed benchmarks \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 reset \u03ae replay hooks, \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf resampling, executed-action logs \u03ba\u03b1\u03b9 opponent-action \u03ae opponent-type fields \u03cc\u03c0\u03bf\u03c5 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b1. \u038c\u03c4\u03b1\u03bd \u03c4\u03b1 fields \u03bb\u03b5\u03af\u03c0\u03bf\u03c5\u03bd, \u03b7 \u03ad\u03bb\u03bb\u03b5\u03b9\u03c8\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b7\u03bb\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9. \u0393\u03b9\u03b1 log-only benchmarks \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c0\u03bb\u03ae\u03c1\u03b7\u03c2 curve \u03c4\u03b7\u03c2 \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7\u03c2 \u03b1\u03bd\u03ac context length \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae\u03c2 \u03c3\u03ae\u03bc\u03b1\u03bd\u03c3\u03b7 \u03cc\u03c4\u03b9 \u03bf\u03b9 cross-entropy \u03c4\u03b9\u03bc\u03ad\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 probe-based proxies.<\/p>\n<p>\u0397 reference implementation \u03c0\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03ba\u03cc\u03bc\u03b7 \u03c3\u03c7\u03ad\u03b4\u03b9\u03bf. \u0398\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bb\u03ac\u03bc\u03b2\u03b1\u03bd\u03b5 estimators, TCP-Ref configs \u03ba\u03b1\u03b9 training scripts, JSON \u03ae YAML schema \u03b3\u03b9\u03b1 cards, table generator \u03ba\u03b1\u03b9 regression tests \u03b3\u03b9\u03b1 tic-tac-toe \u03ba\u03b1\u03b9 sticky actions. \u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03c4\u03bf paper \u03bc\u03b9\u03bb\u03ac \u03b3\u03b9\u03b1 planned package, \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03cc \u03bd\u03b1 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03ae\u03b4\u03b7 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03bf production toolkit.<\/p>\n<h2 id=\"epicheirimatiki-axiologisi-ai\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03c4\u03bf TCP \u03b3\u03b9\u03b1 \u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 AI<\/h2>\n<p>\u03a4\u03bf TCP \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03bf marketing campaign \u03bf\u03cd\u03c4\u03b5 \u03ad\u03c4\u03bf\u03b9\u03bc\u03bf procurement score. \u03a0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae \u03bd\u03bf\u03bf\u03c4\u03c1\u03bf\u03c0\u03af\u03b1: \u03c0\u03c1\u03b9\u03bd \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 \u03b4\u03cd\u03bf AI \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1, \u03b5\u03bb\u03ad\u03b3\u03be\u03c4\u03b5 \u03b1\u03bd \u03b5\u03af\u03c7\u03b1\u03bd \u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1, \u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae \u03c0\u03b5\u03c1\u03b9\u03c3\u03c4\u03b1\u03c4\u03b9\u03ba\u03ce\u03bd, \u03c4\u03b9\u03c2 \u03af\u03b4\u03b9\u03b5\u03c2 \u03c0\u03b7\u03b3\u03ad\u03c2 \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf operational protocol. \u0394\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac, \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 outputs \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03c4\u03b5 \u03c4\u03b7 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03af\u03b1 \u03c4\u03b7\u03c2 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae\u03c2.<\/p>\n<p>\u03a3\u03b5 customer support, \u03b3\u03b9\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1, \u03b7 \u03c0\u03bf\u03bb\u03c5\u03c0\u03bb\u03bf\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03c5\u03be\u03ac\u03bd\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03bf agent \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b5\u03b9 \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03c0\u03c1\u03bf\u03b8\u03ad\u03c3\u03b5\u03b9\u03c2, \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03b9 \u03b9\u03c3\u03c4\u03bf\u03c1\u03b9\u03ba\u03cc \u03c0\u03bf\u03bb\u03bb\u03ce\u03bd \u03ba\u03b1\u03bd\u03b1\u03bb\u03b9\u03ce\u03bd \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03c4\u03bf\u03bd\u03b9\u03c3\u03c4\u03b5\u03af \u03bc\u03b5 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03bf\u03c5\u03c2 \u03ae \u03ac\u03bb\u03bb\u03b1 bots. \u03a3\u03b5 e-commerce \u03b1\u03c5\u03be\u03ac\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 stock changes, \u03c0\u03bb\u03b7\u03c1\u03c9\u03bc\u03ad\u03c2, \u03c4\u03b9\u03bc\u03ad\u03c2, \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03bf\u03c6\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03c1\u03af\u03c4\u03b1 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1. \u03a3\u03b5 web agents, \u03c4\u03bf interface \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b1 actions \u03ba\u03b1\u03b8\u03bf\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03b1\u03bd \u03bc\u03b9\u03b1 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1 \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03ae \u03b1\u03c0\u03cc \u03c4\u03bf environment, \u03cc\u03c0\u03c9\u03c2 \u03c6\u03b1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd <a href=\"https:\/\/twodots.gr\/webmcp-ai-agents-asfales-website\/\">\u03b1\u03c3\u03c6\u03b1\u03bb\u03ae \u03c0\u03c1\u03bf\u03b5\u03c4\u03bf\u03b9\u03bc\u03b1\u03c3\u03af\u03b1 website \u03b3\u03b9\u03b1 AI agents<\/a>.<\/p>\n<p>\u0397 \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03c0\u03cc \u03c0\u03bf\u03bb\u03bb\u03bf\u03cd\u03c2 actors \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03c4\u03bf\u03bd\u03b9\u03c3\u03bc\u03cc state. \u038c\u03c4\u03b1\u03bd agents, \u03c7\u03c1\u03ae\u03c3\u03c4\u03b5\u03c2 \u03ba\u03b1\u03b9 integrations \u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03bd \u03c3\u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1, \u03c4\u03bf profile \u03c4\u03b7\u03c2 \u03bc\u03b5\u03c4\u03ac\u03b2\u03b1\u03c3\u03b7\u03c2 \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03c7\u03c9\u03c1\u03af\u03c2 <a href=\"https:\/\/twodots.gr\/multi-agent-ai-concurrency-control\/\">concurrency control \u03b3\u03b9\u03b1 multi-agent \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1<\/a>. \u0397 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1\u00b7 \u03c4\u03b1 permissions, \u03c4\u03b1 approvals \u03ba\u03b1\u03b9 \u03c4\u03bf rollback \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03b9\u03c2 \u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b5\u03c2.<\/p>\n<h2 id=\"epta-vimata-axiologisis\">\u0395\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c0\u03c1\u03b9\u03bd \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 AI \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1<\/h2>\n<p>\u0397 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03c4\u03b7\u03c2 \u03b9\u03b4\u03ad\u03b1\u03c2 \u03b4\u03b5\u03bd \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c5\u03b9\u03bf\u03b8\u03ad\u03c4\u03b7\u03c3\u03b7 \u03c4\u03bf\u03c5 TCP. \u039c\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c8\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03ae \u03c3\u03b5 versioned evaluation dossier \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf, vendor \u03ae agentic workflow.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u0391\u03c0\u03cc \u03c4\u03bf \u03b5\u03bd\u03c4\u03c5\u03c0\u03c9\u03c3\u03b9\u03b1\u03ba\u03cc demo \u03c3\u03b5 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">\u0392\u03ae\u03bc\u03b1 1<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc interface<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 inputs, state representation, \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03bf history, tools, permissions \u03ba\u03b1\u03b9 outputs. \u039c\u03b7\u03bd \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b5 \u03bc\u03cc\u03bd\u03bf \u03c4\u03b7\u03bd \u03b5\u03bc\u03c0\u03bf\u03c1\u03b9\u03ba\u03ae \u03bf\u03bd\u03bf\u03bc\u03b1\u03c3\u03af\u03b1 \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0392\u03ae\u03bc\u03b1 2<\/span><strong>\u0394\u03b7\u03bb\u03ce\u03c3\u03c4\u03b5 \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae \u03c0\u03b5\u03c1\u03b9\u03c3\u03c4\u03b1\u03c4\u03b9\u03ba\u03ce\u03bd<\/strong>\n<p>\u039e\u03b5\u03c7\u03c9\u03c1\u03af\u03c3\u03c4\u03b5 training, historical \u03ba\u03b1\u03b9 probing data. \u0392\u03b5\u03b2\u03b1\u03b9\u03c9\u03b8\u03b5\u03af\u03c4\u03b5 \u03cc\u03c4\u03b9 \u03c4\u03b1 test cases \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03bf\u03c5\u03bd \u03c4\u03b9\u03c2 \u03c3\u03c0\u03ac\u03bd\u03b9\u03b5\u03c2 \u03b1\u03bb\u03bb\u03ac \u03b1\u03ba\u03c1\u03b9\u03b2\u03ad\u03c2 \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c4\u03bf\u03c5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd workflow.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0392\u03ae\u03bc\u03b1 3<\/span><strong>\u03a7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03ae\u03c3\u03c4\u03b5 \u03c4\u03b9\u03c2 \u03c0\u03b7\u03b3\u03ad\u03c2 branching<\/strong>\n<p>\u03a3\u03b7\u03bc\u03b5\u03b9\u03ce\u03c3\u03c4\u03b5 \u03c0\u03bf\u03b9\u03b1 outcomes \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc RNG, users, \u03ac\u03bb\u03bb\u03bf\u03c5\u03c2 agents, \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ac APIs \u03ae \u03ba\u03c1\u03c5\u03c6\u03ae \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7. \u039c\u03b7\u03bd \u03b1\u03c0\u03bf\u03b4\u03af\u03b4\u03b5\u03c4\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c3\u03c4\u03bf model.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0392\u03ae\u03bc\u03b1 4<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03b3\u03ba\u03b7 \u03b3\u03b9\u03b1 context<\/strong>\n<p>\u0394\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b5 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf history \u03ba\u03b1\u03b9, \u03cc\u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9, \u03b5\u03c5\u03c1\u03cd\u03c4\u03b5\u03c1\u03bf data scope. \u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03b1\u03bd \u03ba\u03b1\u03b9 \u03c0\u03cc\u03c4\u03b5 \u03c3\u03c4\u03b1\u03bc\u03b1\u03c4\u03ac \u03bd\u03b1 \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0392\u03ae\u03bc\u03b1 5<\/span><strong>\u039a\u03bb\u03b5\u03b9\u03b4\u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf evaluation protocol<\/strong>\n<p>Version\u03ac\u03c1\u03b5\u03c4\u03b5 preprocessing, retries, timeouts, tool availability, prompts, temperature, wrappers \u03ba\u03b1\u03b9 success criteria. \u039a\u03ac\u03b8\u03b5 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03bd\u03ad\u03bf run.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0392\u03ae\u03bc\u03b1 6<\/span><strong>\u0391\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b5 \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03cc\u03c1\u03b9\u03b1<\/strong>\n<p>\u0394\u03ce\u03c3\u03c4\u03b5 distributions, confidence intervals \u03ba\u03b1\u03b9 failed slices. \u039e\u03b5\u03c7\u03c9\u03c1\u03af\u03c3\u03c4\u03b5 direct measurements, proxies, vendor claims \u03ba\u03b1\u03b9 \u03b4\u03b9\u03ba\u03ad\u03c2 \u03c3\u03b1\u03c2 \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0392\u03ae\u03bc\u03b1 7<\/span><strong>\u03a3\u03c5\u03bd\u03b4\u03ad\u03c3\u03c4\u03b5 \u03c4\u03b7 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03bc\u03b5 operational controls<\/strong>\n<p>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 human approval, least privilege, observability, incident response \u03ba\u03b1\u03b9 rollback \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 failure mode \u03c0\u03bf\u03c5 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03c1\u03bf\u03ba\u03b1\u03bb\u03ad\u03c3\u03b5\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b6\u03b7\u03bc\u03b9\u03ac.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<p>\u03a4\u03bf dossier \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bc\u03b2\u03b1\u03b4\u03af\u03b6\u03b5\u03b9 \u03bc\u03b5 model documentation \u03ba\u03b1\u03b9 governance. \u03a4\u03b1 <a href=\"https:\/\/twodots.gr\/model-cards-open-weight-ai-governance\/\">model cards \u03c7\u03c9\u03c1\u03af\u03c2 operational evidence \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03bf\u03cd\u03bd<\/a>, \u03b5\u03bd\u03ce \u03b7 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b7\u03c8\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b8\u03b7\u03ba\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03c4\u03b9 \u03ac\u03bb\u03bb\u03b1\u03be\u03b5 \u03b1\u03bd\u03ac evaluation run.<\/p>\n<h2 id=\"oria-tcp\">\u03a4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03c4\u03bf\u03c5 TCP \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc \u03ba\u03c1\u03b9\u03c4\u03ae\u03c1\u03b9\u03bf<\/h2>\n<p>\u03a4\u03bf TCP \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 architecture-independent \u03b1\u03bb\u03ae\u03b8\u03b5\u03b9\u03b1 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03c0\u03c4\u03c5\u03c7\u03ae. \u039f\u03b9 log-only probes \u03b5\u03be\u03b1\u03c1\u03c4\u03ce\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc model class \u03ba\u03b1\u03b9 compute budget. \u0397 transition complexity \u03bc\u03b5\u03c4\u03b1\u03b2\u03ac\u03bb\u03bb\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03bf interface \u03ba\u03b1\u03b9 \u03c4\u03b7 reference distribution. \u0397 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03ad\u03c7\u03b5\u03b9 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03bc\u03b9\u03b1 \u03bd\u03ad\u03b1 metadata \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b3\u03af\u03bd\u03b5\u03b9 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf gaming \u03ae \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03bb\u03ae\u03be\u03b5\u03b9 \u03c3\u03b5 checkbox \u03c7\u03c9\u03c1\u03af\u03c2 \u03bf\u03c5\u03c3\u03af\u03b1.<\/p>\n<p>\u0397 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c4\u03bf\u03c5 paper \u03b5\u03af\u03bd\u03b1\u03b9 versioning, \u03b4\u03b9\u03b1\u03c6\u03ac\u03bd\u03b5\u03b9\u03b1 \u03ba\u03b1\u03b9 profile \u03b1\u03bd\u03c4\u03af \u03b3\u03b9\u03b1 \u03b5\u03bd\u03b9\u03b1\u03af\u03bf leaderboard. \u039f\u03b9 benchmark maintainers \u03c0\u03bb\u03b7\u03c1\u03ce\u03bd\u03bf\u03c5\u03bd \u03c4\u03bf TCP-Std \u03bc\u03af\u03b1 \u03c6\u03bf\u03c1\u03ac \u03b3\u03b9\u03b1 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc setup, \u03b5\u03bd\u03ce \u03c4\u03b1 model papers \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03c0\u03ad\u03bc\u03c0\u03bf\u03c5\u03bd \u03c3\u03c4\u03bf card \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bc\u03b5\u03c4\u03c1\u03bf\u03cd\u03bd \u03cc\u03c4\u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf kernel. \u0397 \u03c0\u03c1\u03cc\u03c4\u03b1\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03be\u03b1\u03bb\u03b5\u03af\u03c6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03b3\u03ba\u03b7 \u03b3\u03b9\u03b1 return, planning, quality, safety \u03ba\u03b1\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc user testing.<\/p>\n<p>\u03a4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc \u03ba\u03c1\u03b9\u03c4\u03ae\u03c1\u03b9\u03bf \u03b3\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd \u03bf\u03b9 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03c3\u03b5\u03b9\u03c2 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03bd \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03ba\u03b1\u03b9 \u03b1\u03bd \u03c4\u03b1 observed failures \u03c3\u03c5\u03bd\u03b4\u03ad\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03b1\u03c0\u03bf\u03b4\u03b5\u03ba\u03c4\u03cc residual risk. \u0388\u03bd\u03b1 AI \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03ba\u03b5\u03c1\u03b4\u03af\u03b6\u03b5\u03b9 \u03c3\u03b5 \u03ad\u03bd\u03b1\u03bd \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc\u00b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03c4\u03b1\u03bb\u03bb\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03ad\u03c7\u03b5\u03b9 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b7\u03b8\u03b5\u03af \u03c3\u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc interface, \u03bc\u03b5 \u03b1\u03bd\u03c4\u03b9\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03c5\u03c4\u03b9\u03ba\u03cc protocol \u03ba\u03b1\u03b9 \u03bc\u03b5 controls \u03c0\u03bf\u03c5 \u03c4\u03b1\u03b9\u03c1\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03c3\u03c4\u03b9\u03c2 \u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b5\u03c2 \u03c4\u03b7\u03c2 \u03c7\u03c1\u03ae\u03c3\u03b7\u03c2.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-kicker\">\u0391\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03af \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd &amp; AI<\/p>\n<h3>\u039c\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c8\u03c4\u03b5 \u03c4\u03bf AI benchmark \u03c3\u03b5 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7<\/h3>\n<p>\u0397 TWO DOTS \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03b5\u03af interfaces, data distributions, tools, permissions, evaluations \u03ba\u03b1\u03b9 failure controls, \u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf AI \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03ac \u03c3\u03b1\u03c2 \u03bd\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc workflow \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03b5\u03bd\u03c4\u03c5\u03c0\u03c9\u03c3\u03b9\u03b1\u03ba\u03cc demo.<\/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 \u03c4\u03bf\u03c5\u03c2 \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 &amp; AI<\/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\">\u00centreb\u0103ri frecvente<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf Transition Complexity Profile;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03bf\u03c4\u03b5\u03b9\u03bd\u03cc\u03bc\u03b5\u03bd\u03bf \u03c3\u03cd\u03bd\u03bf\u03bb\u03bf \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd \u03b3\u03b9\u03b1 \u03c4\u03bf transition kernel \u03c0\u03bf\u03c5 \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03b5\u03b9 \u03ad\u03bd\u03b1 world model \u03c3\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf interface, protocol \u03ba\u03b1\u03b9 reference distribution. \u03a0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 branching, \u03b1\u03bb\u03bb\u03b7\u03bb\u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 dependency span.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0395\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf TCP \u03bd\u03ad\u03bf AI \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u03a4\u03bf position paper \u03c4\u03bf \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03b5\u03b9 \u03c9\u03c2 measurement layer \u03ba\u03b1\u03b9 benchmark metadata, \u03cc\u03c7\u03b9 \u03c9\u03c2 \u03bd\u03ad\u03b1 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae world model \u03ae \u03b1\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf reinforcement learning.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03b9 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03b2\u03b1\u03c3\u03b9\u03ba\u03bf\u03af \u03ac\u03be\u03bf\u03bd\u03b5\u03c2 \u03c4\u03bf\u03c5 TCP;<\/summary>\n<div class=\"td-faq-content\">\n<p>One-step branching \u03c4\u03b7\u03c2 \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b7\u03c2 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7\u03c2, interaction-induced uncertainty \u03ba\u03b1\u03b9 opponent influence \u03cc\u03c4\u03b1\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b1, \u03ba\u03b1\u03b8\u03ce\u03c2 \u03ba\u03b1\u03b9 temporal \u03ae spatial dependency span \u03bc\u03ad\u03c3\u03c9 standardized probes.<\/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 \u03c4\u03bf score \u03b5\u03bd\u03cc\u03c2 benchmark;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03b4\u03b5\u03bd \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b1\u03bd \u03bf\u03b9 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ad\u03c2 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b1\u03bd \u03c4\u03bf \u03af\u03b4\u03b9\u03bf interface, context, stochasticity, wrapper \u03ba\u03b1\u03b9 reference distribution. \u038a\u03b4\u03b9\u03bf score \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc transition problem.<\/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 TCP-Lite \u03ba\u03b1\u03b9 TCP-Std;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03bf TCP-Lite-v1 \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 5.000 state-action pairs, \u03ad\u03c9\u03c2 8 resamples, 200 \u03b5\u03ba\u03b1\u03c4. probe tokens \u03ba\u03b1\u03b9 3 seeds. \u03a4\u03bf TCP-Std-v1 \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 20.000 pairs, \u03ad\u03c9\u03c2 32 resamples, 1 \u03b4\u03b9\u03c3. tokens, 3 seeds \u03ba\u03b1\u03b9 95% bootstrap intervals.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03c5\u03bd \u03bc\u03cc\u03bd\u03bf gameplay logs;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 fixed probe models \u03ba\u03b1\u03b9 cross-entropy proxies. \u039f\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c9\u03c2 proxy \u03ae upper bound, \u03bd\u03b1 \u03b4\u03b7\u03bb\u03ce\u03bd\u03bf\u03c5\u03bd probe version \u03ba\u03b1\u03b9 compute budget \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 capacity limitation.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03ad\u03bd\u03b1 wrapper \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03c4\u03bf benchmark;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03c0\u03b5\u03b9\u03b4\u03ae sticky actions, frame skip, reset distribution, tokenization \u03ae context construction \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03c9\u03bd \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03c9\u03bd \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03c9\u03bd \u03c0\u03bf\u03c5 \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf. \u03a4\u03bf game name \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b5\u03af\u03bd\u03b5\u03b9 \u03af\u03b4\u03b9\u03bf \u03b5\u03bd\u03ce \u03c4\u03bf induced kernel \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0388\u03c7\u03b5\u03b9 \u03ae\u03b4\u03b7 \u03b3\u03af\u03bd\u03b5\u03b9 standard \u03c4\u03bf TCP;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u0395\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03cc\u03c4\u03b1\u03c3\u03b7 position paper \u03c4\u03bf\u03c5 ICML 2026 \u03c0\u03bf\u03c5 \u03ba\u03b1\u03bb\u03b5\u03af maintainers \u03ba\u03b1\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03bd\u03b1 \u03c5\u03b9\u03bf\u03b8\u03b5\u03c4\u03ae\u03c3\u03bf\u03c5\u03bd TCP cards \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03bf\u03c5\u03bd reference implementation. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b8\u03b9\u03b5\u03c1\u03c9\u03bc\u03ad\u03bd\u03bf industry standard.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">\u03a0\u03b7\u03b3\u03ad\u03c2<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/html\/2608.18079\" target=\"_blank\" rel=\"noopener\">Cao, Position: Profiling Game Worlds by Transition Complexity \u2014 \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 paper<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2608.18079\" target=\"_blank\" rel=\"noopener\">arXiv, abstract \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03b1 \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7\u03c2 \u03c4\u03bf\u03c5 Transition Complexity Profile<\/a><\/li>\n<li><a href=\"https:\/\/icml.cc\/virtual\/2026\/poster\/67074\" target=\"_blank\" rel=\"noopener\">ICML 2026, \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03b7 \u03c3\u03b5\u03bb\u03af\u03b4\u03b1 \u03c4\u03bf\u03c5 accepted position paper<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/1709.06009\" target=\"_blank\" rel=\"noopener\">Machado et al., Revisiting the Arcade Learning Environment \u2014 evaluation protocols \u03ba\u03b1\u03b9 sticky actions<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u03a4\u03bf Transition Complexity Profile \u03b5\u03be\u03b7\u03b3\u03b5\u03af \u03b3\u03b9\u03b1\u03c4\u03af \u03c4\u03bf score \u03b5\u03bd\u03cc\u03c2 AI world model \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03c7\u03c9\u03c1\u03af\u03c2 branching, interaction \u03ba\u03b1\u03b9 dependency span.<\/p>","protected":false},"author":1,"featured_media":90183,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[17818,19698,18034,19699,19354],"class_list":["post-90176","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-ai-benchmarks","tag-game-ai","tag-reinforcement-learning","tag-transition-complexity","tag-world-models"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":7}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/ro\/wp-json\/wp\/v2\/posts\/90176","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/ro\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/ro\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/ro\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/ro\/wp-json\/wp\/v2\/comments?post=90176"}],"version-history":[{"count":1,"href":"https:\/\/twodots.gr\/ro\/wp-json\/wp\/v2\/posts\/90176\/revisions"}],"predecessor-version":[{"id":90184,"href":"https:\/\/twodots.gr\/ro\/wp-json\/wp\/v2\/posts\/90176\/revisions\/90184"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/ro\/wp-json\/wp\/v2\/media\/90183"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/ro\/wp-json\/wp\/v2\/media?parent=90176"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/ro\/wp-json\/wp\/v2\/categories?post=90176"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/ro\/wp-json\/wp\/v2\/tags?post=90176"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}