Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive Learning from Scores

Shukai Liu, Chenming Wu, Ying Li +1

Interactive reinforcement learning has shown promise in learning complex robotic tasks. However, the process can be human-intensive due to the requirement of a large amount of inte…