Tag
VLA-Corrector introduces a lightweight detect-and-correct inference framework that adaptively adjusts action horizons in Vision-Language-Action policies without retraining, improving robustness and efficiency in robot manipulation tasks.
This article explains vLLM's weight syncing API for reinforcement learning, covering how it facilitates weight updates and KV cache recompute in RL training, with a focus on reducing complexity for training frameworks.