@@ -4,6 +4,8 @@ YGO Agent is a project to create a Yu-Gi-Oh! AI using deep learning (LLMs, RL).
## News
- April 14, 2024: LSTM has been implemented and well tested. See `scripts/jax/ppo.py` for more details.
- April 7, 2024: We have switched to JAX for training and evalution due to the better performance and flexibility. The scripts are in the `scripts/jax` directory. The documentation is in progress. PyTorch scripts are still available in the `scripts` directory, but they are not maintained.
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@@ -20,10 +22,11 @@ YGO Agent is a project to create a Yu-Gi-Oh! AI using deep learning (LLMs, RL).
-[Training](#training)
-[Single GPU Training](#single-gpu-training)
-[Distributed Training](#distributed-training)
-[Training (JAX)](#training-jax)
-[Plan](#plan)
-[Environment](#environment)
-[Training](#training-1)
-[Inference](#inference)
-[Documentation](#documentation)
-[Related Projects](#related-projects)
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@@ -170,8 +173,9 @@ The script options are mostly the same as the single GPU training. We only scale
- Fix information leak in the history actions
### Training
- Evaluation with old models during training
- League training following AlphaStar and ROA-Star
