Update README.md

README.md

@@ -1,6 +1,5 @@
 ---
 datasets:
-- jakegrigsby/metamon-synthetic
 - jakegrigsby/metamon-parsed-replays
 license: apache-2.0
 pipeline_tag: reinforcement-learning
@@ -12,34 +11,16 @@ tags:
 - transformers
 ---
 
-Checkpoints from Metamon (v1) training runs.
+<div align="center">
+    <img src="https://cdn-uploads.huggingface.co/production/uploads/6671b3decda5ebe22f2f058e/Vcq4b5M0YCUNQr_tWRPrj.png" alt="Metamon Banner" width="720">
+</div>
 
-**Metamon** enables reinforcement learning (RL) research on [Pokémon Showdown](https://pokemonshowdown.com/) by providing:
-
-1) A standardized suite of teams and opponents for evaluation.
-2) A large dataset of RL trajectories "reconstructed" from real human battles.
-3) Starting points for training imitation learning (IL) and RL policies.
-
-Metamon is the codebase behind ["Human-Level Competitive Pokémon via Scalable Offline RL and Transformers"](https://arxiv.org/abs/2504.04395) (RLC, 2025). Please check out our [project website](https://metamon.tech) for an overview of our results. This README documents the dataset, pretrained models, training, and evaluation details to help you get battling!
+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)
-
-### Usage
 
-Pretrained models can run without research GPUs, but you will need to install [`amago`](https://github.com/UT-Austin-RPL/amago), which is an RL codebase by the same authors. Follow installation instructions [here](https://ut-austin-rpl.github.io/amago/installation.html).
-
-Load and run pretrained models with `metamon.rl.eval_pretrained`. For example, to run the default checkpoint of the `SyntheticRLV2` model for 100 battles against a set of heuristic baselines:
-
-```bash
-python -m metamon.rl.eval_pretrained --agent SyntheticRLV2 --gens 1 --formats ou --n_challenges 100 --eval_type heuristic
-```
-
-To battle against other models or humans online (via a local Showdown server):
+**Project Website:** https://metamon.tech
 
-```bash
-python -m metamon.rl.eval_pretrained --agent SyntheticRLV2 --gens 1 --formats ou --n_challenges 50 --eval_type ladder --username <pick unique username> --team_set competitive
-```
+**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).