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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 191–200 of 311 papers

TitleStatusHype
RMIX: Learning Risk-Sensitive Policies forCooperative Reinforcement Learning Agents—0
Off-Policy Correction For Multi-Agent Reinforcement LearningCode0
On games and simulators as a platform for development of artificial intelligence for command and control—0
State-based Episodic Memory for Multi-Agent Reinforcement Learning—0
Containerized Distributed Value-Based Multi-Agent Reinforcement Learning—0
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism—0
Leveraging Transformers for StarCraft Macromanagement Prediction—0
Divergence-Regularized Multi-Agent Actor-Critic—0
MARNET: Backdoor Attacks against Value-Decomposition Multi-Agent Reinforcement Learning—0
Role Diversity Matters: A Study of Cooperative Training Strategies for Multi-Agent RL—0
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