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opendilab/DI-star

A distributed training platform for deep reinforcement learning agents that achieve grand-master level play in StarCraft II.

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This project provides a large-scale game AI training platform specifically for StarCraft II, implementing both supervised learning and reinforcement learning training pipelines. The system uses self-play methodology and distributed computing infrastructure to train competitive agents, with pre-trained models available for Zerg versus Zerg matchups. It includes testing utilities allowing users to play against the trained agent.

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