Time:10:00, Oct. 30th(Monday), 2017
Venue:401 Academic Hall, Building of Information, East Campus
Topic:Reinforcement Learning (RL) and Its Applications
Lecture:Guosheng Huang
About the Lecturer:Guosheng Huang, Doctor in Computer Engineering of Northwestern University, US, is now a professor at Department of Electrical Engineering under National Sun Yat-sen University, a member of Taiwan System Association, Robotics Society of Taiwan, and Taiwan Automatic Control Association. Prof. Huang is also the Associate Editor of IEEE Trans. on Cybernetics, and Technical Editor of IEEE Trans. on Mechatronics. His main research fields contain intelligent robots and intelligent systems. He has published over 70 papers on international journals including IEEE Transactions FS, IE, II, SMC-A, B, and NNLT.
About the Lecture:Reinforcement learning (RL) is an area of machine learning inspired by behaviorist psychology, concerned with how software agents ought to take actions in an environment so as to maximize some notion of cumulative reward. The problem, due to its generality, is studied in many other disciplines, such as game theory, control theory, operations research, information theory, Reinforcement learning differs from standard supervised learning in that correct input/output pairs are never presented, nor sub-optimal actions explicitly corrected. Instead the focus is on on-line performance, which involves finding a balance between exploration (of uncharted territory) and exploitation (of current knowledge). The theme of this speech will deliver a preliminary concept of RL and introduction to its applications implemented by the speaker’s laboratory. It is expected that the audiences can acquire rapidly the insights into the researches on RL and the inspiration as well.
School of Information Science and Engineering
Oct. 27th, 2017
(Translated by Zhengjie Li)
