For all Keio University Faculty, Staff, and Students: Yagami AI Colloquium Guest Lecturer Presentation (2nd Session) (Held on Dec. 19, 2018) -Learn about Cutting-Edge AI- (Internal Only)
Event Date
Event Venue
December 19, 2018
Title: "The Forefront of Deep Reinforcement Learning"
Speaker: Mr. Masafumi Takahashi, Graduate School of Systems Information Science, Future University Hakodate
Reinforcement learning makes it possible to climb a mountain with no visible answer by maximizing the rewards gained through interaction with the environment. With the advent of deep reinforcement learning, direct mapping from high-dimensional and complex states, such as images, to values and actions has become possible, leading to remarkable progress in the field of reinforcement learning.
Recent research has developed an extremely versatile and powerful method that, without requiring human empirical knowledge, uses the same algorithm to overwhelm the strongest conventional methods in Go, shogi, and chess. Furthermore, in Dota 2, a multiplayer strategy game that requires control in a very high-dimensional state and action space, it has defeated a team of skilled human players.
This lecture will focus on and introduce the latest research in deep reinforcement learning, providing an explanation that will allow attendees to catch up on the latest trends in the field.
Date: Wednesday, December 19, 2018
Time: 6:30 PM–8:00 PM *Reception to follow from 8:00 PM
Venue: Keio University Yagami Campus (Details will be provided once finalized)
Organizer: Keio University Faculty of Science and Technology
Co-organizer: Keio University Global Research Institute (KGRI) Core Project Creative Cluster
Eligibility: Keio University faculty, staff, and students
Capacity: 60 people
Language: Japanese
Fee: Free *Reception fee: Approx. 500 yen
Pre-registration required: Please register from here .
Registration Deadline: 11:59 PM, Sunday, December 14, 2018
*This colloquium is operated with funding for the enhancement of education at the Faculty of Science and Technology, courtesy of the Mentor Mita-kai.
Inquiries
Katsuhiro Endo, Researcher, Graduate School of Science and Technology
Inquiries regarding this lecture
E-mail: yagami_ai_project_seminar-group[at]keio.jp
Please replace "[at]" with "@" when sending.