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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 131–140 of 311 papers

TitleStatusHype
QFree: A Universal Value Function Factorization for Multi-Agent Reinforcement Learning—0
Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization—0
Privacy-Engineered Value Decomposition Networks for Cooperative Multi-Agent Reinforcement Learning—0
Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning—0
Leveraging World Model Disentanglement in Value-Based Multi-Agent Reinforcement Learning—0
Never Explore Repeatedly in Multi-Agent Reinforcement Learning—0
Anticipatory Thinking Challenges in Open Worlds: Risk Management—0
Transferable Curricula through Difficulty Conditioned Generators—0
Offline Multi-Agent Reinforcement Learning with Coupled Value Factorization—0
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningCode0
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