Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay

Feng Chen, Fuguang Han, Cong Guan +4

Given the inherent non-stationarity prevalent in real-world applications, continual Reinforcement Learning (RL) aims to equip the agent with the capability to address a series of s…