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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

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Showing 21–30 of 311 papers

TitleStatusHype
Data-Driven Distributed Common Operational Picture from Heterogeneous Platforms using Multi-Agent Reinforcement Learning—0
LLM-PySC2: Starcraft II learning environment for Large Language ModelsCode2
Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration—0
A New Approach to Solving SMAC Task: Generating Decision Tree Code from Large Language ModelsCode2
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement LearningCode1
Carefully Structured Compression: Efficiently Managing StarCraft II DataCode0
Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular Observations—0
Grounded Answers for Multi-agent Decision-making Problem through Generative World Model—0
ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization—0
On Stateful Value Factorization in Multi-Agent Reinforcement Learning—0
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