Reinforcement Learning and Robotics

Abstract

Because of the recent achievements of deep learning [GBC16] benefiting from big data, powerful computation, and new algorithmic techniques, you have been witnessing the renaissance of reinforcement learning, especially the combination of reinforcement learning and deep neural networks such as deep reinforcement learning (deep RL). Deep Q-networks (DQNs) have ignited the field of deep RL [MKS+15] by allowing machines to achieve superhuman performance in Atari games and the very hard board game of Go.