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Starcraft

Starcraft I is a RTS game; the task is to train an agent to play the game.

( Image credit: Macro Action Selection with Deep Reinforcement Learning in StarCraft )

Papers

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Showing 51–60 of 311 papers

TitleStatusHype
Assigning Credit with Partial Reward Decoupling in Multi-Agent Proximal Policy OptimizationCode1
Multi-Agent Collaboration via Reward Attribution DecompositionCode1
Cooperative Multi-Agent Reinforcement Learning with Sequential Credit AssignmentCode1
No-Press Diplomacy from ScratchCode1
Randomized Entity-wise Factorization for Multi-Agent Reinforcement LearningCode1
Coordinated Proximal Policy OptimizationCode1
Counterfactual Multi-Agent Policy GradientsCode1
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority InfluenceCode1
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement LearningCode1
Meta Reinforcement Learning with Autonomous Inference of Subtask DependenciesCode1
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