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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 221–230 of 311 papers

TitleStatusHype
Reinforcement Learning of Implicit and Explicit Control Flow in Instructions—0
Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning—0
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents—0
Disturbing Reinforcement Learning Agents with Corrupted Rewards—0
Factored Action Spaces in Deep Reinforcement Learning—0
Coordinated Multi-Agent Exploration Using Shared Goals—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
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms—0
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