Chengxiu HUA

Continuous Q-Score Matching: Diffusion Guided Reinforcement Learning for Continuous-Time Control

Reinforcement learning (RL) has achieved significant success across a wide range of domains, however, most existing methods are formulated in discrete time. In this work, we introduce a novel RL method for continuous-time control, where stochastic differential equations govern state-action dynamics.…