2018
Inverse Reinforcement Learning via Function Approximation for Clinical Motion Analysis
ICRA 2018poster
This paper introduces a new method for inverse reinforcement learning in large state spaces, where the learned reward function can be used to control high-dimensional robot systems and analyze complex human movement. To avoid solving the computationally expensive reinforcement learning problems in r…