Recent Achievements on Deep Reinforcement Learning

Dongbin Zhao
Chinese Academy of Sciences, and the University of Chinese Academy of Sciences, China

Recent years have seen many significant advances in artificial intelligence (AI) due to deep reinforcement learning (DRL), including DQN, AlphaGo, AlphaZero, AlphaStar, Muzero, etc. It was gratifying to see a number of recent advancements toward advanced artificial intelligence (AI), not only in games and algorithms but also in many real-world applications. This talk will highlight recent developments in DRL, particularly in the past two years, in the hopes of encouraging comparable applications or problem solvers. A few remarks are also summed up for potential areas of future research and application.

Biosketch

Dongbin Zhao is a professor with the Institute of Automation, Chinese Academy of Sciences, and the University of Chinese Academy of Sciences, China. Dr. Zhao serves as several Associate Editors, including IEEE Transactions on Cybernetics. He is involved in organizing many international conferences, including General Chair of IEEE Conference on Games 2022. He has published 7 books, and over 300 international journal and conference papers, including the Outstanding/Best Paper Award of IEEE TASE, TETCI, and TCDS. His group won over 10 first prizes in popular AI competitions, including 3 championships of 2020 RoboMaster AI Challenge. His current research interests lie in deep reinforcement learning, computational intelligence, smart driving, game artificial intelligence, robotics, etc. He is an IEEE Fellow.