Yue-Xin Song

Drift, Then Spread: Learning One-Step Generative Policies for Online Reinforcement Learning

Generative policies offer expressive action distributions for online reinforcement learning (RL), but many diffusion- and flow-based policies require costly iterative sampling. We propose DriftSpread, a one-step generative policy based on Drifting for online maximum-entropy (MaxEnt) RL. To incorporate entropy without a...