verl-agent is an extension of veRL, designed for training LLM/VLM agents via RL. verl-agent is also the official code for paper "Group-in-Group Policy Optimization for LLM Agent Training"
Introduction
verl-agent 是 veRL 的扩展，旨在通过强化学习（RL）训练大型语言模型（LLM）/视觉语言模型（VLM）智能体。verl-agent 同时也是论文《面向大型语言模型智能体训练的组内组策略优化》的官方代码实现。【此简介由AI生成】
Apache-2.0 Python499Commitsagent-frameworkdeepseek-r1gigpogrpolarge-language-modelsllm-agentsllm-trainingreinforcement-learning
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