SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning 事件

SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning arXiv:2603.28730v2 Announce Type: replace-cross Abstract: Vision-language models (VLMs) have shown impressive capabilities across diverse tasks, motivating efforts to leverage these models to supervise robot learning. However, when used as evaluators in reinforcement learning (RL), today's strongest models often fail under partial observability and distribution shift, enabling policies to exploit perceptual