Shypd.aiThe largest open index of AI toolsOpenManus-RL is an open-source AI Frameworks & Infra tool that provides a platform for reinforcement learning (RL) tuning of large language model (LLM) agents. It enables exploration of new paradigms for enhancing LLM reasoning and decision-making capabilities.
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OpenManus-RL is an open-source initiative, collaboratively led by Ulab-UIUC and MetaGPT, dedicated to advancing reinforcement learning (RL) tuning for large language model (LLM) agents. Inspired by successful RL tuning in models like Deepseek-R1, this project explores novel algorithmic structures, diverse reasoning paradigms, and sophisticated reward strategies. It supports rigorous testing on agent benchmarks such as GAIA, AgentBench, WebShop, and OSWorld, with all progress and tuned models openly shared. The platform integrates advanced RL algorithms like PPO and DPO through the Verl submodule, offering efficient and flexible training capabilities. It also provides a simplified library for Supervised Fine-Tuning (SFT) and GRPO tuning, making it a comprehensive solution for researchers and developers looking to push the boundaries of agent reasoning and tool integration.
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