VINE: Taming Generative Control Policies for Reinforcement Learning

Rushuai Yang, Zhuo Han, Houlin Li +10

Flow-matching policies have emerged as an effective policy parameterization for robot learning. They iteratively generate actions from noise, enabling highly expressive modeling of…