AI RESEARCH
Towards Practical World Model-based Reinforcement Learning for Vision-Language-Action Models
arXiv CS.LG
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ArXi:2603.20607v1 Announce Type: cross Vision-Language-Action (VLA) models show strong generalization for robotic control, but finetuning them with reinforcement learning (RL) is constrained by the high cost and safety risks of real-world interaction