A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges

Guiliang Liu, Sheng Xu, Shicheng Liu +3

Inverse Constrained Reinforcement Learning (ICRL) is the task of inferring the implicit constraints that expert agents adhere to, based on their demonstration data. As an emerging…