OpenSTARLab Rlearn Modeling package
Introduction
The OpenSTARLab RLearn package is the fundamental package for Reinforcement Learning modeling. It is designed to provide a simple and efficient way to train, inference, and simulate Reinforcement Learning. This package supports the data preprocessed by the OpenSTARLab PreProcessing package.
This package is continuously evolving to support future OpenSTARLab projects. If you have any suggestions or encounter any bugs, please feel free to open an issue.
Installation
- Install pytorch (recommended version 2.4.0 linux pip python3.10 cuda12.6)
pip install torch
- To install this package via PyPI
pip install openstarlab-rlearn
- To install manually
git clone git@github.com:open-starlab/RLearn.git
cd ./RLearn
pip install -e .
Current Features
Sports
RoadMap
- Release the package
- Incorporate more functions
Developer
 Kenjiro Ide 💻 |
 Keisuke Fujii 🧑💻 |
2 maintainers
Metadata
2 maintainers
Release files for openstarlab-rlearn 0.1.33
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| openstarlab_rlearn-0.1.33.tar.gz | 63.8 kB | Without provenance | Details for openstarlab_rlearn-0.1.33.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| openstarlab_rlearn-0.1.33-py3-none-any.whl | Python 3 | none | any | Details for openstarlab_rlearn-0.1.33-py3-none-any.whl |
Total release size: 149.6 kB
Release files / openstarlab_rlearn-0.1.33.tar.gz
| Download URL | openstarlab_rlearn-0.1.33.tar.gz |
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| Size | 63.8 kB |
| Tags | Source |
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Release files / openstarlab_rlearn-0.1.33-py3-none-any.whl
| Download URL | openstarlab_rlearn-0.1.33-py3-none-any.whl |
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| Size | 85.9 kB |
| Tags | Python 3 |
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