Online Reinforcement Learning and Regret

Published: 01 January 1970
on channel: Simons Institute
5,065
49

Christina Lee Yu (Cornell University) & Sean Sinclair (Cornell)
https://simons.berkeley.edu/talks/onl...
Data-Driven Decision Processes Boot Camp

This tutorial will focus on the online learning perspective towards reinforcement learning when the model is unknown, and one incurs regret for actions selected during the learning process itself. Building on the preceding talks, as well as yesterday's tutorials on multi-arm bandits, we will focus on the challenges introduced in analysing regret under the Markovian dynamics. We will also discuss the interaction between learning and function approximation, the role of structure, and existing challenges and open problems.


Watch video Online Reinforcement Learning and Regret online without registration, duration hours minute second in high quality. This video was added by user Simons Institute 01 January 1970, don't forget to share it with your friends and acquaintances, it has been viewed on our site 5,06 once and liked it 4 people.