TsinghuaC3I/Awesome-RL-for-LRMs
A Survey of Reinforcement Learning for Large Reasoning Models
- Stars
- 2.5k
- Forks
- 139
- Open issues
- 5
- Last push
- 1mo ago
About Awesome-RL-for-LRMs
Awesome-RL-for-LRMs is a free, open-source AI resource list by TsinghuaC3I, written mainly in TeX. A Survey of Reinforcement Learning for Large Reasoning Models. It has 2.5k GitHub stars and 139 forks, and was last updated 1mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- TeX
- Stars
- 2,494
- Last update
- 1mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Not stated
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Awesome-RL-for-LRMs FAQ
Is Awesome-RL-for-LRMs free?
Yes. Awesome-RL-for-LRMs is open source and free to use. It's released under the MIT license, a standard open-source license.
Does Awesome-RL-for-LRMs run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does Awesome-RL-for-LRMs need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Awesome-RL-for-LRMs still maintained?
It was last updated 1mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to Awesome-RL-for-LRMs?
Similar free, open-source tools include KG-LLM-Papers, API-mega-list, h4cker, anomaly-detection-resources.