Reinforcement Learning Day
9:00 AM–5:15 PM
地点： New York City, NY
Venue: New York University
Contact: For event questions, please contact [email protected]
Reinforcement Learning Day 2018 will share the latest research on learning to make decisions based on feedback.
Reinforcement learning is the study of decision making with consequences over time. The topic draws together multi-disciplinary efforts from computer science, cognitive science, mathematics, psychology, economics, control theory, and neuroscience. The common thread through all of these studies is: how do natural and artificial systems learn to make decisions in complex environments based on external, and possibly delayed, feedback.
This workshop features talks by nine outstanding speakers whose research covers a broad swath of the topic, from statistics to psychology, from computer science to control. A key objective is to bring together the research communities of all these areas to learn from each other and build on the latest knowledge.
Committee Chairs
Hal Daumé III (opens in new tab), Microsoft Research
Akshay Krishnamurthy (opens in new tab), Microsoft Research
Speakers
Shipra Agrawal (opens in new tab), Columbia University
Byron Boots (opens in new tab), Georgia Institute of Technology
Marc-Alexandre Côté (opens in new tab), Microsoft Research
Debadeepta Dey (opens in new tab), Microsoft Research
Miro Dudík (opens in new tab), Microsoft Research
Catherine Hartley (opens in new tab), New York University
Raia Hadsell (opens in new tab), Google DeepMind
Katja Hofmann (opens in new tab), Microsoft Research
Michael Littman (opens in new tab), Brown University
Local Organizer
KyungHyun Cho (opens in new tab), New York University