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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

Showing 111120 of 311 papers

TitleStatusHype
Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer LearningCode0
CODEX: A Cluster-Based Method for Explainable Reinforcement LearningCode0
MazeBase: A Sandbox for Learning from GamesCode0
Multi-Agent Common Knowledge Reinforcement LearningCode0
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based ControlCode0
Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed AgentsCode0
MCMARL: Parameterizing Value Function via Mixture of Categorical Distributions for Multi-Agent Reinforcement LearningCode0
A Framework for Understanding and Visualizing Strategies of RL AgentsCode0
DM^2: Decentralized Multi-Agent Reinforcement Learning for Distribution MatchingCode0
Clear the Fog: Combat Value Assessment in Incomplete Information Games with Convolutional Encoder-DecodersCode0
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