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--- |
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datasets: |
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- jakegrigsby/metamon-parsed-replays |
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license: apache-2.0 |
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pipeline_tag: reinforcement-learning |
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library_name: amago |
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tags: |
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- pokemon |
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- game-ai |
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- offline-rl |
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--- |
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<div align="center"> |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6671b3decda5ebe22f2f058e/Vcq4b5M0YCUNQr_tWRPrj.png" alt="Metamon Banner" width="720"> |
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</div> |
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Metamon training checkpoints for policies that play Pokémon Showdown at a human level. |
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**Paper:** [Human-Level Competitive Pokémon via Scalable Offline Reinforcement Learning with Transformers](https://huggingface.co/papers/2504.04395) |
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**Project Website:** https://metamon.tech |
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**Code:** [GitHub Repository](https://github.com/UT-Austin-RPL/metamon/tree/main) |
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For more details on models and usage, please refer to the [project's GitHub repository](https://github.com/UT-Austin-RPL/metamon/tree/main). |
