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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 131–140 of 175 papers

TitleStatusHype
Regularized Softmax Deep Multi-Agent Q-Learning—0
Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning—0
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents—0
FSV: Learning to Factorize Soft Value Function for Cooperative Multi-Agent Reinforcement Learning—0
DOP: Off-Policy Multi-Agent Decomposed Policy Gradients—0
RMIX: Risk-Sensitive Multi-Agent Reinforcement Learning—0
Spatially Structured Recurrent Modules—0
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II—0
Reinforcement Learning for the Beginning of Starcraft II Game—0
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning—0
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