Reinforcement learning and approximate dynamic programming for feedback control:
"Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern complex systems. This book describes the latest RL and ADP techniques for decision and control in human engineered systems, covering both s...
Gespeichert in:
Weitere beteiligte Personen: | , |
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Piscataway, NJ
IEEE Press
[2013]
Hoboken, New Jersey Wiley |
Schriftenreihe: | IEEE Press series on computational intelligence
A John Wiley & Sons, Inc., publication |
Schlagwörter: | |
Links: | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6462203 https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6462203 https://onlinelibrary.wiley.com/doi/book/10.1002/9781118453988 https://onlinelibrary.wiley.com/doi/book/10.1002/9781118453988 https://onlinelibrary.wiley.com/doi/book/10.1002/9781118453988 https://onlinelibrary.wiley.com/doi/book/10.1002/9781118453988 |
Zusammenfassung: | "Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern complex systems. This book describes the latest RL and ADP techniques for decision and control in human engineered systems, covering both single player decision and control and multi-player games. Edited by the pioneers of RL and ADP research, the book brings together ideas and methods from many fields and provides an important and timely guidance on controlling a wide variety of systems, such as robots, industrial processes, and economic decision-making"-- "Reinforcement learning and adaptive control can be useful for controlling a wide variety of systems including robots, industrial processes, and economical decision making"-- |
Beschreibung: | Includes bibliographical references and index |
Umfang: | 1 Online-Ressource (xxvi, 613 Seiten) Illustrationen, Diagramme |
ISBN: | 9781118453971 1118453972 9781118453933 111845393X 9781118453964 1118453964 9781118453988 1118453980 9781299189850 1299189857 |
Internformat
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245 | 1 | 0 | |a Reinforcement learning and approximate dynamic programming for feedback control |c edited by Frank L. Lewis (UTA Automation and Robotics Research Institute, Fort Worth, TX), Derong Liu (University of Illinois, Chicago, IL) |
264 | 1 | |a Piscataway, NJ |b IEEE Press |c [2013] | |
264 | 1 | |a Hoboken, New Jersey |b Wiley | |
264 | 4 | |c © 2013 | |
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336 | |b txt |2 rdacontent | ||
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490 | 0 | |a IEEE Press series on computational intelligence | |
490 | 0 | |a A John Wiley & Sons, Inc., publication | |
500 | |a Includes bibliographical references and index | ||
520 | |a "Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern complex systems. This book describes the latest RL and ADP techniques for decision and control in human engineered systems, covering both single player decision and control and multi-player games. Edited by the pioneers of RL and ADP research, the book brings together ideas and methods from many fields and provides an important and timely guidance on controlling a wide variety of systems, such as robots, industrial processes, and economic decision-making"-- | ||
520 | |a "Reinforcement learning and adaptive control can be useful for controlling a wide variety of systems including robots, industrial processes, and economical decision making"-- | ||
650 | 7 | |a TECHNOLOGY & ENGINEERING / Electronics / General |2 bisacsh | |
650 | 4 | |a Reinforcement learning | |
650 | 4 | |a Feedback control systems | |
650 | 0 | 7 | |a Dynamische Optimierung |0 (DE-588)4125677-3 |2 gnd |9 rswk-swf |
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689 | 0 | |5 DE-604 | |
700 | 1 | |a Lewis, Frank L. |d 1949- |0 (DE-588)130084867 |4 edt | |
700 | 1 | |a Liu, Derong |d 1963- |0 (DE-588)136077811 |4 edt | |
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Datensatz im Suchindex
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any_adam_object | |
author2 | Lewis, Frank L. 1949- Liu, Derong 1963- |
author2_role | edt edt |
author2_variant | f l l fl fll d l dl |
author_GND | (DE-588)130084867 (DE-588)136077811 |
author_facet | Lewis, Frank L. 1949- Liu, Derong 1963- |
building | Verbundindex |
bvnumber | BV043394663 |
classification_rvk | ST 302 |
collection | ZDB-35-WIC ZDB-35-WEL |
ctrlnum | (ZDB-35-WIC)ocn798809964 (OCoLC)798809964 (DE-599)BVBBV043394663 |
dewey-full | 003/.5 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 003 - Systems |
dewey-raw | 003/.5 |
dewey-search | 003/.5 |
dewey-sort | 13 15 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Electronic eBook |
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id | DE-604.BV043394663 |
illustrated | Illustrated |
indexdate | 2024-12-20T17:35:20Z |
institution | BVB |
isbn | 9781118453971 1118453972 9781118453933 111845393X 9781118453964 1118453964 9781118453988 1118453980 9781299189850 1299189857 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028813246 |
oclc_num | 798809964 |
open_access_boolean | |
owner | DE-861 DE-706 DE-573 DE-92 |
owner_facet | DE-861 DE-706 DE-573 DE-92 |
physical | 1 Online-Ressource (xxvi, 613 Seiten) Illustrationen, Diagramme |
psigel | ZDB-35-WIC ZDB-35-WEL UBG_PDA_WIC ZDB-35-WIC FRO_PDA_WIC ZDB-35-WIC UBG_PDA_WIC ZDB-35-WIC UBY_PDA_WIC_Kauf |
publishDate | 2013 |
publishDateSearch | 2013 |
publishDateSort | 2013 |
publisher | IEEE Press Wiley |
record_format | marc |
series2 | IEEE Press series on computational intelligence A John Wiley & Sons, Inc., publication |
spelling | Reinforcement learning and approximate dynamic programming for feedback control edited by Frank L. Lewis (UTA Automation and Robotics Research Institute, Fort Worth, TX), Derong Liu (University of Illinois, Chicago, IL) Piscataway, NJ IEEE Press [2013] Hoboken, New Jersey Wiley © 2013 1 Online-Ressource (xxvi, 613 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier IEEE Press series on computational intelligence A John Wiley & Sons, Inc., publication Includes bibliographical references and index "Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern complex systems. This book describes the latest RL and ADP techniques for decision and control in human engineered systems, covering both single player decision and control and multi-player games. Edited by the pioneers of RL and ADP research, the book brings together ideas and methods from many fields and provides an important and timely guidance on controlling a wide variety of systems, such as robots, industrial processes, and economic decision-making"-- "Reinforcement learning and adaptive control can be useful for controlling a wide variety of systems including robots, industrial processes, and economical decision making"-- TECHNOLOGY & ENGINEERING / Electronics / General bisacsh Reinforcement learning Feedback control systems Dynamische Optimierung (DE-588)4125677-3 gnd rswk-swf Bestärkendes Lernen Künstliche Intelligenz (DE-588)4825546-4 gnd rswk-swf Electronic books Bestärkendes Lernen Künstliche Intelligenz (DE-588)4825546-4 s Dynamische Optimierung (DE-588)4125677-3 s DE-604 Lewis, Frank L. 1949- (DE-588)130084867 edt Liu, Derong 1963- (DE-588)136077811 edt Erscheint auch als Druck-Ausgabe, Hardcover 978-1-118-10420-0 Erscheint auch als Druck-Ausgabe, Hardcover 1-118-10420-X https://onlinelibrary.wiley.com/doi/book/10.1002/9781118453988 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Reinforcement learning and approximate dynamic programming for feedback control TECHNOLOGY & ENGINEERING / Electronics / General bisacsh Reinforcement learning Feedback control systems Dynamische Optimierung (DE-588)4125677-3 gnd Bestärkendes Lernen Künstliche Intelligenz (DE-588)4825546-4 gnd |
subject_GND | (DE-588)4125677-3 (DE-588)4825546-4 |
title | Reinforcement learning and approximate dynamic programming for feedback control |
title_auth | Reinforcement learning and approximate dynamic programming for feedback control |
title_exact_search | Reinforcement learning and approximate dynamic programming for feedback control |
title_full | Reinforcement learning and approximate dynamic programming for feedback control edited by Frank L. Lewis (UTA Automation and Robotics Research Institute, Fort Worth, TX), Derong Liu (University of Illinois, Chicago, IL) |
title_fullStr | Reinforcement learning and approximate dynamic programming for feedback control edited by Frank L. Lewis (UTA Automation and Robotics Research Institute, Fort Worth, TX), Derong Liu (University of Illinois, Chicago, IL) |
title_full_unstemmed | Reinforcement learning and approximate dynamic programming for feedback control edited by Frank L. Lewis (UTA Automation and Robotics Research Institute, Fort Worth, TX), Derong Liu (University of Illinois, Chicago, IL) |
title_short | Reinforcement learning and approximate dynamic programming for feedback control |
title_sort | reinforcement learning and approximate dynamic programming for feedback control |
topic | TECHNOLOGY & ENGINEERING / Electronics / General bisacsh Reinforcement learning Feedback control systems Dynamische Optimierung (DE-588)4125677-3 gnd Bestärkendes Lernen Künstliche Intelligenz (DE-588)4825546-4 gnd |
topic_facet | TECHNOLOGY & ENGINEERING / Electronics / General Reinforcement learning Feedback control systems Dynamische Optimierung Bestärkendes Lernen Künstliche Intelligenz |
url | https://onlinelibrary.wiley.com/doi/book/10.1002/9781118453988 |
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