Online Reinforcement Learning and Regret

Опубликовано: 06 Октябрь 2024
на канале: 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.