Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks

Sahand Sharifzadeh, Ioannis Chiotellis, Rudolph Triebel +1

We propose an inverse reinforcement learning (IRL) approach using Deep Q-Networks to extract the rewards in problems with large state spaces. We evaluate the performance of this ap…