Reinforcement learning [2nd ed.] : an Introduction

By:

Sutton, Richard

Contributor(s):

Barto, Andrew G

Language: English Series: Adaptive computation and machine learning | / edited by Francis BachPublication details: MIT Press 2020 CambridgeEdition: 2nd edDescription: xxii, 526pISBN:

9780262039246

Subject(s):

Reinforcement learning

DDC classification:

006.3 Su87r2

Summary: "Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms.

List(s) this item appears in: New arrivals April 15 to May 19, 2024

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Text Books	PK Kelkar Library, IIT Kanpur	TEXT	006.3 Su87r2 cop.1 (Browse shelf(Opens below))	Copy 1	Available	A186426
Text Books	PK Kelkar Library, IIT Kanpur	TEXT	006.3 Su87r2 cop.2 (Browse shelf(Opens below))	Copy 2	Available	A186427
Text Books	PK Kelkar Library, IIT Kanpur	TEXT	006.3 Su87r2 cop.3 (Browse shelf(Opens below))	Copy 3	Available	A186428
Text Books	PK Kelkar Library, IIT Kanpur	TEXT	006.3 Su87r2 cop.4 (Browse shelf(Opens below))	Copy 4	Available	A186429
Text Books	PK Kelkar Library, IIT Kanpur	TEXT	006.3 Su87r2 cop.5 (Browse shelf(Opens below))	Copy 5	Available	A186430
Text Books	PK Kelkar Library, IIT Kanpur	TEXT	006.3 Su87r2 cop.6 (Browse shelf(Opens below))	Copy 6	Available	A186431
Text Books	PK Kelkar Library, IIT Kanpur	TEXT	006.3 Su87r2 cop.7 (Browse shelf(Opens below))	Copy 7	Available	A186432
Text Books	PK Kelkar Library, IIT Kanpur	TEXT	006.3 Su87r2 cop.8 (Browse shelf(Opens below))	Copy 8	Available	A186433
Text Books	PK Kelkar Library, IIT Kanpur	TEXT	006.3 Su87r2 cop.9 (Browse shelf(Opens below))	Copy 9	Available	A186434
Text Books	PK Kelkar Library, IIT Kanpur	TEXT	006.3 Su87r2 cop.10 (Browse shelf(Opens below))	Copy 10	Available	A186435

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"Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms.

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Reinforcement learning [2nd ed.] : an Introduction

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