https://github.com/bytedance/raylink
Framework to build and train RL algorithms
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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○Scientific vocabulary similarity
Low similarity (7.7%) to scientific vocabulary
Keywords
Repository
Framework to build and train RL algorithms
Basic Info
Statistics
- Stars: 37
- Watchers: 5
- Forks: 4
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
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 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.
Owner
- Name: Bytedance Inc.
- Login: bytedance
- Kind: organization
- Location: Singapore
- Website: https://opensource.bytedance.com
- Twitter: ByteDanceOSS
- Repositories: 255
- Profile: https://github.com/bytedance
GitHub Events
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- Watch event: 2
Last Year
- Watch event: 2
Issues and Pull Requests
Last synced: 10 months ago
All Time
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- Total pull requests: 0
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- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0