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