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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 21–30 of 311 papers

TitleStatusHype
Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement LearningCode1
Applying supervised and reinforcement learning methods to create neural-network-based agents for playing StarCraft IICode1
Cooperative Multi-Agent Reinforcement Learning with Sequential Credit AssignmentCode1
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team CompositionCode1
Celebrating Diversity in Shared Multi-Agent Reinforcement LearningCode1
Context-Aware Sparse Deep Coordination GraphsCode1
Randomized Entity-wise Factorization for Multi-Agent Reinforcement LearningCode1
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority InfluenceCode1
An Introduction of mini-AlphaStarCode1
FACMAC: Factored Multi-Agent Centralised Policy GradientsCode1
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