Adaptive cooperative exploration for reinforcement learning from imperfect demonstrations

Fuxian Huang, Naye Ji, Huajian Ni, Shijian Li, Xi Li

Abstract: Highlights•Proposing adaptive cooperative exploration method to guide the policy learning with imperfect demonstrations.•Encouraging agents to explore efficiently based on cooperative learning module.•Exploring the demonstrations effectively based on adaptive self-supervised exploration method.•Performance of our approach is demonstrated on multiple control tasks.