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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 110 of 311 papers

TitleStatusHype
Transformer World Model for Sample Efficient Multi-Agent Reinforcement LearningCode0
NeuroPAL: Punctuated Anytime Learning with Neuroevolution for Macromanagement in Starcraft: Brood War0
A Benchmark for Generalizing Across Diverse Team Strategies in Competitive PokémonCode1
Language-Guided Multi-Agent Learning in Simulations: A Unified Framework and Evaluation0
Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning0
AVA: Attentive VLM Agent for Mastering StarCraft IICode1
Trajectory-Class-Aware Multi-Agent Reinforcement LearningCode1
SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning0
Nucleolus Credit Assignment for Effective Coalitions in Multi-agent Reinforcement Learning0
PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement LearningCode0
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