Inverse Reinforcement Learning via Deep Gaussian Process

Ming Jin, Andreas Damianou, Pieter Abbeel +1

We propose a new approach to inverse reinforcement learning (IRL) based on the deep Gaussian process (deep GP) model, which is capable of learning complicated reward structures wit…