Inferring Task Goals and Constraints using Bayesian Nonparametric Inverse Reinforcement Learning

Daehyung Park, Michael Noseworthy, Rohan Paul, Subhro Roy, Nicholas Roy

Abstract: Recovering an unknown reward function for complex manipulation tasks is the fundamental problem of Inverse Reinforcement Learning (IRL). Often, the recovered reward function fails to explicitly cap...