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Starcraft II

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

( Image credit: The StarCraft Multi-Agent Challenge )

Papers

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Showing 91–100 of 175 papers

TitleStatusHype
MARNET: Backdoor Attacks against Value-Decomposition Multi-Agent Reinforcement Learning—0
Forecasting Evolution of Clusters in Game Agents with Hebbian Learning—0
Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning—0
Minimax Exploiter: A Data Efficient Approach for Competitive Self-Play—0
A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets—0
Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization—0
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees—0
Modular Architecture for StarCraft II with Deep Reinforcement Learning—0
Towards a Deep Reinforcement Learning Approach for Tower Line Wars—0
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization—0
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