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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 8190 of 311 papers

TitleStatusHype
The StarCraft Multi-Agent ChallengeCode1
Towards Accurate Generative Models of Video: A New Metric & ChallengesCode1
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement LearningCode1
Counterfactual Multi-Agent Policy GradientsCode1
Stabilising Experience Replay for Deep Multi-Agent Reinforcement LearningCode1
Transformer World Model for Sample Efficient Multi-Agent Reinforcement LearningCode0
NeuroPAL: Punctuated Anytime Learning with Neuroevolution for Macromanagement in Starcraft: Brood War0
Language-Guided Multi-Agent Learning in Simulations: A Unified Framework and Evaluation0
Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning0
SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning0
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