Skip to main content

openstarlab rlearn modeliing package

Project description

OpenSTARLab Rlearn Modeling package

Documentation Status dm ArXiv Discord

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
Kenjiro Ide

💻
Keisuke Fujii
Keisuke Fujii

🧑‍💻

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

openstarlab_rlearn-0.1.24.tar.gz (47.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

openstarlab_rlearn-0.1.24-py3-none-any.whl (64.2 kB view details)

Uploaded Python 3

File details

Details for the file openstarlab_rlearn-0.1.24.tar.gz.

File metadata

  • Download URL: openstarlab_rlearn-0.1.24.tar.gz
  • Upload date:
  • Size: 47.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.8

File hashes

Hashes for openstarlab_rlearn-0.1.24.tar.gz
Algorithm Hash digest
SHA256 a8e2f0342598a9114d84eb3d7579081b185c7c8ef487760652e3173687423d48
MD5 3f26b82e53a8582f761b95f5d50e9b83
BLAKE2b-256 e460e6c91851e8ec6f57263b58830801ea9ed34f3d59cb0779708852076c4e78

See more details on using hashes here.

File details

Details for the file openstarlab_rlearn-0.1.24-py3-none-any.whl.

File metadata

File hashes

Hashes for openstarlab_rlearn-0.1.24-py3-none-any.whl
Algorithm Hash digest
SHA256 888413085163c06b19d451838d78d87ca6ce1819544850aa961c313c2b0f2924
MD5 f78e8e33717db01d8fd6ed726b7aea18
BLAKE2b-256 5bee41497fe51521f39ff22607f8fafdecc95a74b9b34c566e3c718041a73642

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page