Reinforcement learning: an introduction
Gespeichert in:
Hauptverfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge, Massachusetts
The MIT Press
[1998]
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Schriftenreihe: | Adaptive computation and machine learning
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Schlagworte: | |
Online-Zugang: | TUM01 UBM01 Volltext |
Beschreibung: | Illustrationen, Diagramme |
ISBN: | 0585024456 9780585024455 9780262193986 0262193981 9780262257053 026225705X 9781282096783 1282096788 |
Internformat
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100 | 1 | |a Sutton, Richard S. |e Verfasser |0 (DE-588)1099442435 |4 aut | |
245 | 1 | 0 | |a Reinforcement learning |b an introduction |c Richard S. Sutton and Andrew G. Barto |
264 | 1 | |a Cambridge, Massachusetts |b The MIT Press |c [1998] | |
300 | |a Illustrationen, Diagramme | ||
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338 | |b cr |2 rdacarrier | ||
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490 | 0 | |a Adaptive computation and machine learning | |
505 | 8 | |a Includes bibliographical references (pages 291-312) and index | |
505 | 8 | |a Presents the book "Reinforcement Learning: An Introduction," written by Richard S. Sutton and Andrew G. Barto and published by the Massachusetts Institute of Technology (MIT) Press in 1998. The book is a textbook targeted toward engineers and scientists in artificial intelligence, operations research, neural networks, and control systems. Examines a computation approach to learning from interaction with environment | |
650 | 4 | |a Artificial Intelligence | |
650 | 4 | |a Operations Research | |
650 | 4 | |a Pattern Recognition, Automated | |
650 | 7 | |a Reinforcement learning (Machine learning) |2 blmlsh | |
650 | 7 | |a Reinforcement learning |2 fast | |
650 | 7 | |a Kunstmatige intelligentie |2 gtt | |
650 | 7 | |a Reinforcement |2 gtt | |
650 | 7 | |a Leren |2 gtt | |
650 | 4 | |a Reinforcement learning | |
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Datensatz im Suchindex
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---|---|
any_adam_object | |
author | Sutton, Richard S. Barto, Andrew |
author_GND | (DE-588)1099442435 (DE-588)1099442664 |
author_facet | Sutton, Richard S. Barto, Andrew |
author_role | aut aut |
author_sort | Sutton, Richard S. |
author_variant | r s s rs rss a b ab |
building | Verbundindex |
bvnumber | BV042508793 |
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contents | Includes bibliographical references (pages 291-312) and index Presents the book "Reinforcement Learning: An Introduction," written by Richard S. Sutton and Andrew G. Barto and published by the Massachusetts Institute of Technology (MIT) Press in 1998. The book is a textbook targeted toward engineers and scientists in artificial intelligence, operations research, neural networks, and control systems. Examines a computation approach to learning from interaction with environment |
ctrlnum | (OCoLC)43474535 (DE-599)BVBBV042508793 |
dewey-full | 006.3/1 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3/1 |
dewey-search | 006.3/1 |
dewey-sort | 16.3 11 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Electronic eBook |
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id | DE-604.BV042508793 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T01:23:39Z |
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isbn | 0585024456 9780585024455 9780262193986 0262193981 9780262257053 026225705X 9781282096783 1282096788 |
language | English |
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publishDate | 1998 |
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publisher | The MIT Press |
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series2 | Adaptive computation and machine learning |
spelling | Sutton, Richard S. Verfasser (DE-588)1099442435 aut Reinforcement learning an introduction Richard S. Sutton and Andrew G. Barto Cambridge, Massachusetts The MIT Press [1998] Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Online-Ressource (xviii, 322 Seiten) Adaptive computation and machine learning Includes bibliographical references (pages 291-312) and index Presents the book "Reinforcement Learning: An Introduction," written by Richard S. Sutton and Andrew G. Barto and published by the Massachusetts Institute of Technology (MIT) Press in 1998. The book is a textbook targeted toward engineers and scientists in artificial intelligence, operations research, neural networks, and control systems. Examines a computation approach to learning from interaction with environment Artificial Intelligence Operations Research Pattern Recognition, Automated Reinforcement learning (Machine learning) blmlsh Reinforcement learning fast Kunstmatige intelligentie gtt Reinforcement gtt Leren gtt Reinforcement learning Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 s DE-604 Barto, Andrew Verfasser (DE-588)1099442664 aut http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267343 Verlag Volltext |
spellingShingle | Sutton, Richard S. Barto, Andrew Reinforcement learning an introduction Includes bibliographical references (pages 291-312) and index Presents the book "Reinforcement Learning: An Introduction," written by Richard S. Sutton and Andrew G. Barto and published by the Massachusetts Institute of Technology (MIT) Press in 1998. The book is a textbook targeted toward engineers and scientists in artificial intelligence, operations research, neural networks, and control systems. Examines a computation approach to learning from interaction with environment Artificial Intelligence Operations Research Pattern Recognition, Automated Reinforcement learning (Machine learning) blmlsh Reinforcement learning fast Kunstmatige intelligentie gtt Reinforcement gtt Leren gtt Reinforcement learning Maschinelles Lernen (DE-588)4193754-5 gnd |
subject_GND | (DE-588)4193754-5 |
title | Reinforcement learning an introduction |
title_auth | Reinforcement learning an introduction |
title_exact_search | Reinforcement learning an introduction |
title_full | Reinforcement learning an introduction Richard S. Sutton and Andrew G. Barto |
title_fullStr | Reinforcement learning an introduction Richard S. Sutton and Andrew G. Barto |
title_full_unstemmed | Reinforcement learning an introduction Richard S. Sutton and Andrew G. Barto |
title_short | Reinforcement learning |
title_sort | reinforcement learning an introduction |
title_sub | an introduction |
topic | Artificial Intelligence Operations Research Pattern Recognition, Automated Reinforcement learning (Machine learning) blmlsh Reinforcement learning fast Kunstmatige intelligentie gtt Reinforcement gtt Leren gtt Reinforcement learning Maschinelles Lernen (DE-588)4193754-5 gnd |
topic_facet | Artificial Intelligence Operations Research Pattern Recognition, Automated Reinforcement learning (Machine learning) Reinforcement learning Kunstmatige intelligentie Reinforcement Leren Maschinelles Lernen |
url | http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267343 |
work_keys_str_mv | AT suttonrichards reinforcementlearninganintroduction AT bartoandrew reinforcementlearninganintroduction |