Near-Optimal Learning in Sequential Games

Decision making is ubiquitous, and some problems become particularly challenging due to their sequential nature, where later decisions depend on earlier ones. While humans have been attempting to solve sequential decision making problems for a long time, modern computational and machine learning tec...

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Bibliographic Details
Main Author: Yu, Tiancheng
Other Authors: Sra, Suvrit
Format: Thesis
Published: Massachusetts Institute of Technology 2023
Online Access:https://hdl.handle.net/1721.1/151570