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Books by Andrey Kolobov






Planning with Markov Decision Processes
An AI Perspective (Synthesis Lectures on Artificial Intelligence and Machine Learning)
by Andrey Kolobov Mausam
Paperback, 210 Pages, Published 2012 by Morgan & Claypool Publishers
ISBN-13: 978-1-60845-886-8, ISBN: 1-60845-886-5






Introduction to Statistical Relational Learning
(Adaptive Computation and Machine Learning series)
by Lise Getoor, Ben Taskar, Wen-Tau Yih, Daphne Koller, Nir Friedman, Charles Sutton, Andrew Mccallum, Avi Pfeffer, Pieter Abbeel, Ming-Fai Wong, David Heckerman, Chris Meek, Jennifer Neville, David Jensen, James Cussens, Assistant Professor Eyal Amir, Luc De Raedt, Niels Pahlavi, Pedro Domingos, Matthew Richardson, Brian Milch, Bhaskara Marthi, Stuart Russell, Daniel L. Ong, Andrey Kolobov, Assistant Professor Elizabeth Burnside, Alexandrin Popescul, Jesse Davis, Assistant Professor Alan Fern, Ines Dutra, David Page, Raghu Ramakrishnan, Jude Shavlik, Vitor Santos Costa, Associate Professor Robert Givan, Sungwook Yoon, Assistant Professor Razvan Bunescu, Professor Dan Roth, Raymond J. Mooney, Associate Professor Kristian Kersting, Sašo Džeroski, Stephen Muggleton, David Sontag, Lyle H. Ungar
Paperback, 608 Pages, Published 2019 by The Mit Press
ISBN-13: 978-0-262-53868-8, ISBN: 0-262-53868-7






Synthesis Lectures on Artificial Intelligence and Machine Learning Ser.
Synthesis Lectures on Artificial Intelligence and Machine Learning : Planning with Markov Decision Processes: an Ai Perspective
by Andrey Kolobov
210 Pages, Published 2012 by Morgan & Claypool Publishers
ISBN-13: 978-1-60845-887-5, ISBN: 1-60845-887-3






Personalized Computational Hemodynamics
Models, Methods, and Applications for Vascular Surgery and Antitumor Therapy
by Vassilevski, Yuri/ Olshanskii, Maxim/ Simakov, Sergey/ Kolobov, Andrey/ Danilov, Alexander
Published 2020 by Academic Pr
ISBN-13: 978-0-12-815653-7, ISBN: 0-12-815653-8






Introduction to Statistical Relational Learning(1st Edition)
(Adaptive Computation and Machine Learning series)
by Lise Getoor, Ben Taskar, Nir Friedman, Andrew Mccallum, Avi Pfeffer, Pieter Abbeel, Daphne Koller, Charles Sutton, David Heckerman, Chris Meek, Jennifer Neville, David Jensen, James Cussens, Kristian Kersting, Ming-Fai Wong, Stephen Muggleton, Niels Pahlavi, Pedro Domingos, Matthew Richardson, Brian Milch, Sašo Džeroski, Bhaskara Marthi, Stuart Russell, David Sontag, Andrey Kolobov, Eyal Amir, Alexandrin Popescul, Luc De Raedt, Daniel L. Ong, Lyle H. Ungar, Jesse Davis, Elizabeth Burnside, Ines Dutra, David Page, Raghu Ramakrishnan, Jude Shavlik, Vitor Santos Costa, Alan Fern, Sungwook Yoon, Robert Givan, Razvan Bunescu, Raymond J. Mooney, Dan Roth, Wen-Tau Yih, Francis Bach, Saå¡O Då¾eroski, Mit Pr
Hardcover, 608 Pages, Published 2007 by The Mit Press
ISBN-13: 978-0-262-07288-5, ISBN: 0-262-07288-2






A Short Introduction to Preferences
Between AI and Social Choice
by Colin Campbell, Edith Law, Francesca Rossi, Georgios Chalkiadakis, Kristen Grauman, Michael Genesereth, Michael Wellman, Andrey Kolobov, Bastian Leibe, Edith Elkind, Kristen Brent Venable, Luis Ahn, Yiming Ying, Michael Wooldridge, Toby Walsh
Published 2010
ISBN-13: 978-83-03-10155-6, ISBN: 83-03-10155-2






Planning with Markov Decision Processes(1st Edition)
An AI Perspective (Synthesis Lectures on Artificial Intelligence and Machine Learning)
by Loparo, Kenneth A., Kolobov, Andrey
Trade Paperback, 212 Pages, Published 2012 by Springer
ISBN-13: 978-3-031-00431-5, ISBN: 3-031-00431-0

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