Shih-Chieh Chou

Rainbow-DemoRL: Combining Improvements in Demonstration-Augmented Reinforcement Learning

Several approaches have been proposed to improve the sample efficiency of online reinforcement learning (RL) by leveraging demonstrations collected offline. The offline data can be used directly as transitions to optimize RL objectives, or offline policy and value functions can first be learned from…