Online inverse reinforcement learning with limited data

Ryan Self, S M Nahid Mahmud, Katrine Hareland +1

This paper addresses the problem of online inverse reinforcement learning for systems with limited data and uncertain dynamics. In the developed approach, the state and control tra…