Reinforcement Learning Day 2021
Location: Virtual
This event has now concluded. On-demand content is available on the Videos tab.
Previous events:
RL Day 2019
RL Day 2018
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, 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 virtual workshop featured talks by a number of outstanding speakers whose research covers a broad swath of the topic, from statistics to neuroscience, from computer science to control. A key objective was to bring together the research communities of all these areas to learn from each other and build on the latest knowledge.
Committee Chairs
Akshay Krishnamurthy (opens in new tab), Microsoft Research
Ching-An Cheng (opens in new tab), Microsoft Research
Dipendra Misra (opens in new tab), Microsoft Research
Ida Momennejad (opens in new tab), Microsoft Research
Robert Loftin (opens in new tab), Microsoft Research
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