Librarian View
LEADER 01802cam a2200385Ii 4500
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991008275469607546
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20250215101927.0
008
180525s2018 maua b 001 0 eng d
010
a| 2018023826
020
a| 9780262039246
q| (hardcover :
q| alkaline paper)
035
a| ybp40028603126
035
a| (NhCcYBP) 2018023826
040
a| DLC
b| eng
e| rda
c| DLC
d| OCLCO
d| OCLCF
d| NhCcYBP
d| CPV
d| HK-SYU
042
a| pcc
050
0
0
a| Q325.6
b| .R45 2018
082
0
0
a| 006.3/1
2| 23
092
0
a| 006.31
b| SUT 2018
100
1
a| Sutton, Richard S.,
e| author.
245
1
0
a| Reinforcement learning :
b| an introduction /
c| Richard S. Sutton and Andrew G. Barto.
250
a| Second edition.
264
1
a| Cambridge, Massachusetts :
b| The MIT Press,
c| [2018]
264
4
c| ©2020
300
a| xxii, 526 pages :
b| illustrations (some color) ;
c| 24 cm.
336
a| text
b| txt
2| rdacontent
337
a| unmediated
b| n
2| rdamedia
338
a| volume
b| nc
2| rdacarrier
490
1
a| Adaptive computation and machine learning
520
a| "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."--
c| Provided by publisher.
504
a| Includes bibliographical references (pages [481]-518) and index.
650
0
a| Reinforcement learning.
700
1
a| Barto, Andrew G.,
e| author.
830
0
a| Adaptive computation and machine learning
910
b| kkl
c| wsl
998
a| book
b| 15-02-25
945
h| Principal
l| location
i| barcode
y| id
f| bookplate
a| callnoa
b| callnob
n| DSA215