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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 261270 of 311 papers

TitleStatusHype
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement LearningCode0
MCMARL: Parameterizing Value Function via Mixture of Categorical Distributions for Multi-Agent Reinforcement LearningCode0
DM^2: Decentralized Multi-Agent Reinforcement Learning for Distribution MatchingCode0
Multi-Agent Common Knowledge Reinforcement LearningCode0
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat GamesCode0
Cooperative Multi-Agent Reinforcement Learning with Hypergraph ConvolutionCode0
Off-Policy Correction For Multi-Agent Reinforcement LearningCode0
MSC: A Dataset for Macro-Management in StarCraft IICode0
MazeBase: A Sandbox for Learning from GamesCode0
SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement LearningCode0
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