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iDS^2 Mini-Workshop on Asymptotics and Non-Asymptotics in Control and Reinforcement Learning: Moderated Discussion

Event Type
Conference/Workshop
Sponsor
Coordinated Science Laboratory
Location
Zoom
Virtual
wifi event
Date
Apr 30, 2021   12:30 - 3:00 pm   with a break from 1:30 pm to 2:00 pm
Speaker
Sean Meyn (University of Florida) and Elad Hazan (Princeton University)
Registration
Register here
Contact
Maxim Raginsky
E-Mail
maxim@illinois.edu
Views
22
Originating Calendar
Computer Science Speakers Calendar

Reinforcement learning is a highly active area of research, blending ideas and techniques from control, optimization, machine learning, and computer science. Given this diversity of viewpoints and frameworks, it is imperative to understand their strengths and their limitations. The aim of this iDS2 virtual mini-workshop is a constructive dialogue and exchange of ideas between researchers in these fields. This moderated discussion follows the two tutorial-style talks emphasizing the asymptotic and the non-asymptotic perspectives, and will feature both Sean Meyn (University of Florida) and Elad Hazan (Princeton University). 

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