Recent Progress in Deep Reinforcement Learning for Computer Vision and NLP

Abstract

Deep reinforcement learning is considered as a way of building autonomous system with a higher level understanding of the world and would revolutionize the field of AI. Recently, some researchers have made many progresses such as learning to play video games like Atari, learning control policy for robots from camera input. In this talk, we begin with general introduction of deep reinforcement learning algorithms, including policy optimization, deep Qlearning, then we will highlight the progresses that have achieved in Vision and NLP via DRL.