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The following is a list of required and optional materials for this course. This information is subject to change.

Reinforcement Learning - 25326 - CS 59000 - Lecture

    OPTIONAL SUPPLEMENTAL MATERIAL: ISBN: 9781608454921 -- Algorithms for Reinforcement Learning
    Author: Csaba Szepesvari
    Publisher: Morgan and Claypool Publishers
    Edition/Year:2010

    OPTIONAL SUPPLEMENTAL MATERIAL: ISBN: 9781108486828 -- Bandit Algorithms
    Author: Tor Lattimore,Csaba Szepesvari
    Publisher: Cambridge University Press
    Edition/Year:2020

    OPTIONAL SUPPLEMENTAL MATERIAL: ISBN: 9781886529434 -- Dynamic Programming and Optimal Control
    Author: Dimitri P. Bertsekas
    Publisher: Not Specified
    Edition/Year:2012

    OPTIONAL SUPPLEMENTAL MATERIAL: ISBN: 9780471727828 -- Markov Decision Processes
    Author: Martin L. Puterman
    Publisher: Wiley-Interscience
    Edition/Year:2005

    OPTIONAL SUPPLEMENTAL MATERIAL: ISBN: 9780521406055 -- Probability with Martingales
    Author: David Williams
    Publisher: Cambridge University Press
    Edition/Year:1991

    OPTIONAL SUPPLEMENTAL MATERIAL: ISBN: 9780262039246 -- Reinforcement Learning
    Author: Richard S. Sutton,Andrew G. Barto
    Publisher: A Bradford Book
    Edition/Year:2018

    OPTIONAL SUPPLEMENTAL MATERIAL: Reinforcement Learning: Theory and Algorithms
    Author: Agarwal, Jiang, Kakade
    Publisher: Not Specified
    Edition/Year:Not Specified
    Notes: rltheorybook.github.io



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