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Thomas P How

Thomas P How

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1.
Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning21 % POD/NR
Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning
By: Jonathan P. How, Nicholas Roy, Alborz Geramifard, Thomas J. Walsh, Stefanie Tellex
Publisher: Now Publishers
No Review Yet
₹6,348
₹5,015
Binding:
Paperback
Release:
19 Dec 2013
Language:
English
International Edition
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Print On Demand
Print On Demand (POD) titles : are those which have been especially printed by the Publisher / Vendor partner only after an order for them has been received. They are also classified as Non-Returnable.
Non-Returnable titles : are those which have been classified as Non-Returnable under any circumstance by International Publishers / Vendor partners.
2.
Cammeyer V. Newton U.S. Supreme Court Transcript of Record with Supporting Pleadings1 % POD/NR
Cammeyer V. Newton U.S. Supreme Court Transcript of Record with Supporting Pleadings
By: Thomas P How, U S Supreme Court
Publisher: Gale Ecco, U.S. Supreme Court Records
No Review Yet
₹2,659
₹2,625
Binding:
Paperback
Release:
01 Oct 2011
Language:
English
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Print On Demand
Print On Demand (POD) titles : are those which have been especially printed by the Publisher / Vendor partner only after an order for them has been received. They are also classified as Non-Returnable.
Non-Returnable titles : are those which have been classified as Non-Returnable under any circumstance by International Publishers / Vendor partners.
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