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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 91100 of 311 papers

TitleStatusHype
Off-Policy Correction For Multi-Agent Reinforcement LearningCode0
PPS-QMIX: Periodically Parameter Sharing for Accelerating Convergence of Multi-Agent Reinforcement LearningCode0
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement LearningCode0
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement LearningCode0
Explainable Reinforcement Learning Through a Causal LensCode0
Multi-Agent Common Knowledge Reinforcement LearningCode0
MSC: A Dataset for Macro-Management in StarCraft IICode0
Arena: a toolkit for Multi-Agent Reinforcement LearningCode0
MazeBase: A Sandbox for Learning from GamesCode0
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat GamesCode0
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