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Awesome GitHub RepositoriesReinforcement Learning Optimizers
Algorithms and frameworks for optimizing model policies based on reward signals.
Distinguishing note: Specifically implements group relative policy optimization for reasoning models.
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Awesome Reinforcement Learning Optimizers GitHub Repositories
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- huggingface/open-r1
huggingface/open-r1
25,887View on GitHubOpen-r1 is a framework designed for the large-scale training, distillation, and optimization of language models focused on complex reasoning and programming tasks. It provides a comprehensive suite of tools for managing distributed training jobs across multi-node clusters, enabling the development of high-performance models through reinforcement learning and supervised fine-tuning. The project distinguishes itself by integrating secure, containerized code execution environments directly into the training and evaluation lifecycle. By allowing models to run and verify code snippets against test
Improves reasoning capabilities by optimizing model policies against output-derived rewards.
Python
