Learning Human Reaching Optimality Principles from Minimal Observation Inverse Reinforcement Learning

Sarmad Mehrdad, Maxime Sabbah, Vincent Bonnet +1

This paper investigates the application of Minimal Observation Inverse Reinforcement Learning (MO-IRL) to model and predict human arm-reaching movements with time-varying cost weig…