VAGEN is a multi-turn reinforcement learning framework designed specifically for training Vision-Language Model (VLM) Agents. Building upon existing approaches for LLM agents like RAGEN, Search-R1, and Agent-R1, VAGEN introduces enhancements that better handle the unique challenges of visual agents.
VAGEN is a multi-turn reinforcement learning framework designed specifically for training VLM Agents. VAGEN leverages Turn-aware Reason-Interaction Chain Optimization (TRICO) to efficiently train VLMs for visual agentic tasks.
