# raylink

**Repository Path**: ByteDance/raylink

## Basic Information

- **Project Name**: raylink
- **Description**: Framework to build and train RL algorithms
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-08-26
- **Last Updated**: 2026-02-03

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# RayLink

RayLink is a **RL** framework used to build and train RL algorithms. RayLink was used to build a RL framework, and
tested in a **large-scale** **multi-agent** training environment. It can help you easily build your own workload.
RayLink will connect every working node, and let you efficiently arrange your own dataflow. Because you can define a
node type based on its functionality, all dataflow are more clear to researchers and developers.

It's based on [ray](https://github.com/ray-project/ray) for now, and it has implemented several new features to improve
user experience.

RayLink was used to build a reinforcement learning framework, and tested in a large-scale multi-agent training
environment. It also can be used as a common actor framework.

## Usage

Clone this project and use `pip install .` to install raylink.

## Demo

Check out `demo_script.py` in `script` folder for quick start.