Online Observer-Based Inverse Reinforcement Learning

no code implementations • 3 Nov 2020 • Ryan Self, Kevin Coleman, He Bai, Rushikesh Kamalapurkar

In this paper, a novel approach to the output-feedback inverse reinforcement learning (IRL) problem is developed by casting the IRL problem, for linear systems with quadratic cost functions, as a state estimation problem.

reinforcement-learning Reinforcement Learning (RL)