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OpenAI Five: scaled self-play for team Dota2

Scaled recurrent PPO self-play with distributed rollout/inference/optimization and continual-training infrastructure, producing a team agent that defeated Team OG in the documented2019 Dota2 setting.

What is recorded here?

Scaled recurrent PPO self-play with distributed rollout/inference/optimization and continual-training infrastructure, producing a team agent that defeated Team OG in the documented2019 Dota2 setting.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Uses inherited PPO/GAE/LSTM/Adam and shaped rewards. Evaluation supports17heroes, excludes specified multi-unit items, uses semantic engine observations rather than pixels, and retains scripted item/ability/courier logic. Defeating the team in that setting is not solving unrestricted Dota2 or certifying unexploitable equilibrium.

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People and systems

Christopher Berner; Greg Brockman; Brooke Chan; Vicki Cheung; Przemysław Dębiak; Christy Dennison; David Farhi; Quirin Fischer; Shariq Hashme; Chris Hesse; Rafal Józefowicz; Scott Gray; Catherine Olsson; Jakub Pachocki; Michael Petrov; Henrique Pondé de Oliveira Pinto; Jonathan Raiman; Tim Salimans; Jeremy Schlatter; Jonas Schneider; Szymon Sidor; Ilya Sutskever; Jie Tang; Filip Wolski; Susan Zhang

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

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English catalogue narrative

OpenAI Five: scaled self-play for team Dota2

Scaled recurrent PPO self-play with distributed rollout/inference/optimization and continual-training infrastructure, producing a team agent that defeated Team OG in the documented2019 Dota2 setting.

Scientific scope

Uses inherited PPO/GAE/LSTM/Adam and shaped rewards. Evaluation supports17heroes, excludes specified multi-unit items, uses semantic engine observations rather than pixels, and retains scripted item/ability/courier logic. Defeating the team in that setting is not solving unrestricted Dota2 or certifying unexploitable equilibrium.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Christopher Berner; Greg Brockman; Brooke Chan; Vicki Cheung; Przemysław Dębiak; Christy Dennison; David Farhi; Quirin Fischer; Shariq Hashme; Chris Hesse; Rafal Józefowicz; Scott Gray; Catherine Olsson; Jakub Pachocki; Michael Petrov; Henrique Pondé de Oliveira Pinto; Jonathan Raiman; Tim Salimans; Jeremy Schlatter; Jonas Schneider; Szymon Sidor; Ilya Sutskever; Jie Tang; Filip Wolski; Susan Zhang

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources