Skip navigation
Skip navigation

Generic Reinforcement Learning Beyond Small MDPs

Daswani, Mayank


Feature reinforcement learning (FRL) is a framework within which an agent can automatically reduce a complex environment to a Markov Decision Process (MDP) by finding a map which aggregates similar histories into the states of an MDP. The primary motivation behind this thesis is to build FRL agents that work in practice, both for larger environments and larger classes of environments. We focus on empirical work targeted at practitioners in the field...[Show more]

CollectionsOpen Access Theses
Date published: 2015
Type: Thesis (PhD)
DOI: 10.25911/5d7637291a901


File Description SizeFormat Image
Daswani Thesis 2016.pdf1.37 MBAdobe PDFThumbnail

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator