Taishi-N324/Awesome-RL-Reasoning
Awesome-RL-Reasoning
This resource is a curated collection of recent research papers, technical reports, and blog posts focused on advancing the reasoning capabilities of large language models (LLMs) using reinforcement learning (RL) techniques. It provides an overview of various algorithms, scaling strategies, and frameworks. LLM researchers and machine learning engineers looking to build or improve advanced reasoning systems will find this useful.
Use this if you are a researcher or engineer looking for the latest developments and open-source projects in applying reinforcement learning to enhance the reasoning abilities of large language models.
Not ideal if you are a beginner looking for an introductory guide to large language models or reinforcement learning, as this resource assumes significant prior knowledge.
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Mar 01, 2026
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