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RL-VLA$^3$: A Flexible and Asynchronous Reinforcement Learning Framework for VLA Training
Reinforcement learning (RL) has emerged as a critical paradigm for post-training Vision-Language-Action (VLA) models, enabling embodied agents to adapt and improve through environmental interaction. However, existing RL frameworks for VLAs inherit synchronous design principles from traditional LLM t
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