L. Zeng

Latent MeanFlow Policy Optimization for Offline Reinforcement Learning.

LaMPO is proposed, a generative policy framework that formulates offline RL as latent generative policy optimization as well as a behavior-conditioned latent distribution, which provides an informative prior and reduces the modeling burden of the generative process.