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Dota 2

Dota 2 is a multiplayer online battle arena (MOBA). The task is to train one-or-more agents to play and win the game.

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Papers

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Showing 1–10 of 27 papers

TitleStatusHype
Proximal Policy Optimization AlgorithmsCode2
An Empirical Model of Large-Batch TrainingCode2
Joint action loss for proximal policy optimizationCode1
Semantic HELM: A Human-Readable Memory for Reinforcement LearningCode1
Machine learning models for DOTA 2 outcomes predictionCode1
Multi-Agent Collaboration via Reward Attribution DecompositionCode1
TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement LearningCode1
Factored Action Spaces in Deep Reinforcement Learning—0
Automatic Player Identification in Dota 2—0
Learning Diverse Policies in MOBA Games via Macro-Goals—0
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