Core library for Retro Speedlab: A high-performance RL toolkit for classic games.
Project description
datenwissenschaften: Retro Speedlab Core 🚀
datenwissenschaften is the core engine powering Retro Speedlab, a high-performance Reinforcement Learning (RL) toolkit for classic video games. Built on top of stable-baselines3 and stable-retro, it provides the underlying infrastructure for training, monitoring, and recording RL agents.
⚠️ Important Note
This package is intended as the internal library for the Retro Speedlab project. For the full experience—including automated runners, training scripts, and comprehensive documentation—please use the main repository:
👉 https://github.com/datenwissenschaften/retro-speedlab
✨ Features
- 🎮 Command Center: A rich terminal dashboard for real-time training metrics.
- 🏋️ Orchestrated Training: Simplified RL workflows and session management.
- 📊 Smart Callbacks: Automatic checkpointing and replay recording (
.bk2). - 🛠️ Robust Infrastructure: Streamlined environment and ROM management.
🚀 Installation
pip install datenwissenschaften
📜 License
This project is licensed under the GNU General Public License v3.0. See the LICENSE file for details.
Developed with ❤️ by datenwissenschaften.
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