# RL-based Reasoning

* SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution \[[paper](https://arxiv.org/abs/2502.18449)]
  * FAIR at Meta, UIUC, GenAI at Meta, CMU
* Memento: Fine-tuning LLM Agents without Fine-tuning LLMs
  * Time: 25 Aug 2025
    1. Use external case memory to save past experience, learn to read and write cases while keeping LLM fixed
    2. soft Q-learning framework to select the most relevant cases for each situation through experience

Note:

See [The State of Reinforcement Learning for LLM Reasoning](https://sebastianraschka.com/blog/2025/the-state-of-reinforcement-learning-for-llm-reasoning.html) for a nice overview
