Christian Daniel: Hierarchical Relative Entropy Policy Search : An Information Theoretic Learning Algorithm in Multimodal Solution Spaces for Real Robots - Taschenbuch
[EAN: 9783639475999], Neubuch, [PU: AV Akademikerverlag], nach der Bestellung gedruckt Neuware -Many real-world problems are inherently hierarchically structured. The use of this structur… Mehr…
[EAN: 9783639475999], Neubuch, [PU: AV Akademikerverlag], nach der Bestellung gedruckt Neuware -Many real-world problems are inherently hierarchically structured. The use of this structure in an agent's policy may well be the key to improved scalability and higher performance on motor skill tasks. However, such hierarchical structures cannot be exploited by current policy search algorithms. We concentrate on a basic, but highly relevant hierarchy - the `mixed option' policy. Here, a gating network first decides which of the options to execute and, subsequently, the option-policy determines the action. Using a hierarchical setup for our learning method allows us to learn not only one solution to a problem but many. We base our algorithm on a recently proposed information theoretic policy search method, which addresses the exploitation-exploration trade-off by limiting the loss of information between policy updates. 68 pp. Englisch, Books<
[EAN: 9783639475999], Neubuch, [PU: AV Akademikerverlag], INFORMATIK EDV REINFORCEMENT LEARNING POLICY SEARCH HIERARCHICAL ROBOT, Dieser Artikel ist ein Print on Demand Artikel und wird n… Mehr…
[EAN: 9783639475999], Neubuch, [PU: AV Akademikerverlag], INFORMATIK EDV REINFORCEMENT LEARNING POLICY SEARCH HIERARCHICAL ROBOT, Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Daniel ChristianChristian Daniel studied computational engineering at Technische Universitaet Darmstadt and EPFL Lausanne and is pursuing a PhD in Robot Learning. His research focuses on developing new learning algorithms for autonom., Books<
[EAN: 9783639475999], Neubuch, [PU: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG], Print on Demand pp. 68 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam, Books
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Daniel, Christian; Neumann, Gerhard: Hierarchical Relative Entropy Policy Search An Information Theoretic Learning Algorithm in Multimodal Solution Spaces for Real Robots - neues Buch
[EAN: 9783639475999], Neubuch, [PU: AV Akademikerverlag], nach der Bestellung gedruckt Neuware -Many real-world problems are inherently hierarchically structured. The use of this structur… Mehr…
[EAN: 9783639475999], Neubuch, [PU: AV Akademikerverlag], nach der Bestellung gedruckt Neuware -Many real-world problems are inherently hierarchically structured. The use of this structure in an agent's policy may well be the key to improved scalability and higher performance on motor skill tasks. However, such hierarchical structures cannot be exploited by current policy search algorithms. We concentrate on a basic, but highly relevant hierarchy - the `mixed option' policy. Here, a gating network first decides which of the options to execute and, subsequently, the option-policy determines the action. Using a hierarchical setup for our learning method allows us to learn not only one solution to a problem but many. We base our algorithm on a recently proposed information theoretic policy search method, which addresses the exploitation-exploration trade-off by limiting the loss of information between policy updates. 68 pp. Englisch, Books<
[EAN: 9783639475999], Neubuch, [PU: AV Akademikerverlag], INFORMATIK EDV REINFORCEMENT LEARNING POLICY SEARCH HIERARCHICAL ROBOT, Dieser Artikel ist ein Print on Demand Artikel und wird n… Mehr…
[EAN: 9783639475999], Neubuch, [PU: AV Akademikerverlag], INFORMATIK EDV REINFORCEMENT LEARNING POLICY SEARCH HIERARCHICAL ROBOT, Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Daniel ChristianChristian Daniel studied computational engineering at Technische Universitaet Darmstadt and EPFL Lausanne and is pursuing a PhD in Robot Learning. His research focuses on developing new learning algorithms for autonom., Books<
[EAN: 9783639475999], Neubuch, [PU: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG], Print on Demand pp. 68 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam, Books
NEW BOOK. Versandkosten: EUR 10.10 Majestic Books, Hounslow, United Kingdom [51749587] [Rating: 4 (von 5)]
Daniel, Christian; Neumann, Gerhard: Hierarchical Relative Entropy Policy Search An Information Theoretic Learning Algorithm in Multimodal Solution Spaces for Real Robots - neues Buch
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Many real-world problems are inherently hierarchically structured. The use of this structure in an agent’s policy may well be the key to improved scalability and higher performance on motor skill tasks. However, such hierarchical structures cannot be exploited by current policy search algorithms. We concentrate on a basic, but highly relevant hierarchy — the `mixed option’ policy. Here, a gating network first decides which of the options to execute and, subsequently, the option-policy determines the action. Using a hierarchical setup for our learning method allows us to learn not only one solution to a problem but many. We base our algorithm on a recently proposed information theoretic policy search method, which addresses the exploitation-exploration trade-off by limiting the loss of information between pol
Detailangaben zum Buch - Hierarchical Relative Entropy Policy Search: An Information Theoretic Learning Algorithm in Multimodal Solution Spaces for Real Robots
EAN (ISBN-13): 9783639475999 ISBN (ISBN-10): 3639475992 Gebundene Ausgabe Taschenbuch Erscheinungsjahr: 2014 Herausgeber: AV Akademikerverlag
Buch in der Datenbank seit 2014-07-27T21:28:31+02:00 (Berlin) Detailseite zuletzt geändert am 2023-06-12T10:16:34+02:00 (Berlin) ISBN/EAN: 9783639475999
ISBN - alternative Schreibweisen: 3-639-47599-2, 978-3-639-47599-9 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: gerhard neumann, daniel, christian neumann Titel des Buches: space solution, real spaces, multimodal, entropy, gerhard, real robots