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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 151–160 of 311 papers

TitleStatusHype
Hierarchical Strategies for Cooperative Multi-Agent Reinforcement Learning—0
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games—0
CURO: Curriculum Learning for Relative Overgeneralization—0
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning—0
Decision-making with Speculative Opponent ModelsCode0
Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team CompetitionCode0
Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy GradientCode0
Exploring Adaptive MCTS with TD Learning in miniXCOM—0
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees—0
Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction—0
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