Multimodal Reinforcement Learning with Adaptive Verifier for AI Agents

Reuben Tan, Baolin Peng, Zhengyuan Yang +16

Agentic reasoning models trained with multimodal reinforcement learning (MMRL) have become increasingly capable, yet they are almost universally optimized using sparse, outcome-bas…