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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
Hierarchical Expert Prompt for Large-Language-Model: An Approach Defeat Elite AI in TextStarCraft II for the First TimeCode2
LLM-PySC2: Starcraft II learning environment for Large Language ModelsCode2
A New Approach to Solving SMAC Task: Generating Decision Tree Code from Large Language ModelsCode2
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement LearningCode2
Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization ApproachCode2
JaxMARL: Multi-Agent RL Environments and Algorithms in JAXCode2
AlphaStar Unplugged: Large-Scale Offline Reinforcement LearningCode2
Maximum Entropy Heterogeneous-Agent Reinforcement LearningCode2
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement LearningCode2
ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-DependencyCode2
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