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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 141–150 of 311 papers

TitleStatusHype
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning—0
Cooperative Multi-Agent Reinforcement Learning with Hypergraph ConvolutionCode0
Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC TasksCode1
Regularized Softmax Deep Multi-Agent Q-LearningCode1
RMIX: Learning Risk-Sensitive Policies forCooperative Reinforcement Learning Agents—0
Off-Policy Correction For Multi-Agent Reinforcement LearningCode0
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven ExplorationCode1
Coordinated Proximal Policy OptimizationCode1
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
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