题目：Deep Reinforcement Learning 报告人🍴：Keith W Ross Chair Professor 主持人：周爱民 副院长 时间：9月26日15:00 地点：中北校区理科大楼A504 主办单位：计算机科学与技术学院
报告人简介🪐🧑🏻🔧： Keith Ross is the Dean of Engineering and Computer Science at NYU Shanghai and the Leonard J. Shustek Chair Professor of Computer Science at NYU. He is an ACM Fellow and an IEEE Fellow. He is co-author (with James F. Kurose) of the popular textbook, Computer Networking: A Top-Down Approach Featuring the Internet, which has been translated into fourteen languages. His current research interests are in deep reinforcement learning. Previously he has worked in Internet privacy, peer-to-peer networking, Internet measurement, queuing theory, and Markov decision processes. 报告内容🫐👷🏼♀️： Reinforcement learning is about sequentially interacting with an environment in order to maximize a return. Recent advances in deep reinforcement learning have led to breakthroughs in AI for playing Go, playing computer video games with raw pixel inputs, and learning how to control simulated robotic locomotion. At NYU Shanghai, Keith and his students have been developing new on-policy and off-policy deep reinforcement learning algorithms. During this talk, we will introduce the field of deep reinforcement learning, and survey his team's recent work in the area. |
