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Dota 2 with large scale deep reinforcement learning

OpenAI Blog ↗ · 2019-12-13 Cached

OpenAI Five became the first AI system to defeat Dota 2 world champions using large-scale deep reinforcement learning with self-play, demonstrating superhuman performance on a complex game with long time horizons and imperfect information.

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The International 2018: Results

OpenAI Blog ↗ · 2018-08-23 Cached

OpenAI Five competed against top professional Dota 2 teams at The International 2018, losing both matches against elite human players while demonstrating competitive gameplay and strategic depth developed through self-taught learning.

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#openai-five

OpenAI Five Benchmark: Results

OpenAI Blog ↗ · 2018-08-06 Cached

OpenAI releases benchmark results for OpenAI Five, their Dota 2 playing system, detailing training methodology across six major revisions with compute requirements ranging from 8 to 35 petaflop/s-days and introducing new network architecture tooling.

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OpenAI Five Benchmark

OpenAI Blog ↗ · 2018-07-18 Cached

OpenAI Five completed a benchmark match against humans in Dota 2, demonstrating improved capabilities including expanded hero pool (18 heroes), Roshan pit mechanics, and wards. The system shows general training flexibility in acquiring complex game skills.

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