Harryis/RAGEN

RAGEN: Training Agents by Reinforcing Reasoning RAGEN (Reasoning AGENt, pronounced like "region") leverages reinforcement learning (RL) to train LLM reasoning agents in interactive, stochastic environments. We strongly believe in the future of RL + LLM + Agents. The release is a minimally viable leap forward. 2025.5.8 Update: We now release the official Documentation for RAGEN. The documentation will be continuously updated and improved to provide a… See the full description on the dataset page: https://huggingface.co/datasets/Harryis/RAGEN.

<iframe src="https://silytics.si/embed/item/0fd837d7-1534-432f-88d1-12b1a370e4c5" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.