008 |
|
200612s2018 maua b 001 0 eng |
020 |
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|a9780262039246 (pbk.):|cUS80.00
|
040 |
|
|dNOU
|
050 |
00
|
|aQ325.6|b.R45 2018
|
095 |
|
|aLB|bLBF|cE020201|dQ325.6|e.S967|y2018|fWJ|n2121|pBook|tLCC
|
100 |
1
|
|aSutton, Richard S.
|
245 |
10
|
|aReinforcement learning :|ban introduction /|cRichard S. Sutton and Andrew G. Barto.
|
250 |
|
|a2nd ed.
|
260 |
|
|aCambridge, MA :|bThe MIT Press,|cc2018.
|
300 |
|
|axxii, 526 p. :|bill. (some col.) ;|c24 cm.
|
490 |
0
|
|aAdaptive computation and machine learning
|
504 |
|
|aIncludes bibliographical references (p. [481]-518) and index.
|
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."--|cProvided by publisher.
|
650 |
0
|
|aReinforcement learning.
|
700 |
1
|
|aBarto, Andrew G.
|