Aaron m roth (19 Ergebnisse)

- Softcover
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Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
INSTANT CITY No. 2 Fall 2005 A Literary Exploration of San Francisco
Dodie Bellamy, Michelle Tea, Donal Mosher, Charlie Andes, Tim Denevi, MC Mars, Eric Delehoy, Sloane Martin, Lisa Ryers, Jessica Arndt, Matthue Roth, Leigh Gallagher, Daphne Gottlieb, Aaron Nielsen, Mike & Gravity Goldberg and Eric Zassenhaus
Verlag: Instant City, 2005
- Softcover
- Erstausgabe
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In den WarenkorbSoftcover. Zustand: Very Good. First Edition. Very Good paperback lightly bumped at the top corner. 113 pages, unmarked. Contributors: Dodie Bellamy, Michelle Tea, Donal Mosher, Charlie Andes, Tim Denevi, MC Mars, Eric Delehoy, Sloane Martin, Lisa Ryers, Jessica Arndt, Matthue Roth, Leigh Gallagher, Daphne Gottlieb, Aaron Nielse…n, Mike. ; UO15 C7C; 8vo 8" - 9" tall; 113 pages.

Explainable and Interpretable Reinforcement Learning for Robotics (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Roth, Aaron M.; Manocha, Dinesh; Sriram, Ram D.; Tabassi, Elham
- Hardcover
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Zustand: very_good. The book is clean and shows minor shelf ware.

- Softcover
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Explainable and Interpretable Reinforcement Learning for Robotics (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Roth, Aaron M.; Manocha, Dinesh; Sriram, Ram D.; Tabassi, Elham
- Hardcover
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Zustand: New. 2024th edition NO-PA16APR2015-KAP.

Sprache: Englisch
Verlag: Springer International Publishing, Springer Nature Switzerland, 2025
- Softcover
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EUR 58,84
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book surveys the state of the art in explainable and interpretable reinforcement learning (RL) as relevant for robotics. While RL in general has grown in popularity and been applied to increasingly complex problems, several challenges have imped…ed the real-world adoption of RL algorithms for robotics and related areas. These include difficulties in preventing safety constraints from being violated and the issues faced by systems operators who desire explainable policies and actions. Robotics applications present a unique set of considerations and result in a number of opportunities related to their physical, real-world sensory input and interactions.The authors consider classification techniques used in past surveys and papers and attempt to unify terminology across the field. The book provides an in-depth exploration of 12 attributes that can be used to classify explainable/interpretable techniques. These include whether the RL method is model-agnostic or model-specific, self-explainable or post-hoc, as well as additional analysis of the attributes of scope, when-produced, format, knowledge limits, explanation accuracy, audience, predictability, legibility, readability, and reactivity. The book is organized around a discussion of these methods broken down into 42 categories and subcategories, where each category can be classified according to some of the attributes. The authors close by identifying gaps in the current research and highlighting areas for future investigation.

- Hardcover
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book surveys the state of the art in explainable and interpretable reinforcement learning (RL) as relevant for robotics. While RL in general has grown in popularity and been applied to increasingly complex problems, several challenges have impeded the…real-world adoption of RL algorithms for robotics and related areas. These include difficulties in preventing safety constraints from being violated and the issues faced by systems operators who desire explainable policies and actions. Robotics applications present a unique set of considerations and result in a number of opportunities related to their physical, real-world sensory input and interactions.The authors consider classification techniques used in past surveys and papers and attempt to unify terminology across the field. The book provides an in-depth exploration of 12 attributes that can be used to classify explainable/interpretable techniques. These include whether the RL method is model-agnostic or model-specific, self-explainable or post-hoc, as well as additional analysis of the attributes of scope, when-produced, format, knowledge limits, explanation accuracy, audience, predictability, legibility, readability, and reactivity. The book is organized around a discussion of these methods broken down into 42 categories and subcategories, where each category can be classified according to some of the attributes. The authors close by identifying gaps in the current research and highlighting areas for future investigation.

- Softcover
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Taschenbuch. Zustand: Neu. Explainable and Interpretable Reinforcement Learning for Robotics | Aaron M. Roth (u. a.) | Taschenbuch | Synthesis Lectures on Artificial Intelligence and Machine Learning | xv | Englisch | 2025 | Springer | EAN 9783031475207 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17…, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Weitere BilderVerlag: Physicians And Surgeons Book Company, 1927
- Hardcover
- Signiert
Anbieter: Dara's Library, Highland Park, IL, USADara's Library
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In den WarenkorbHardcover. Zustand: Good. No Jacket. "Disorders Of The Nose, Throat And Ear" by Aaron Roth, M.D., F.A.C.S 1927 - Hand Signed, Inscribed & Dated 7 1/2" x 5 1/4" 238 Pages The hardcover book is in good minus condition free from rips, tears, and bends. The book has been hand signed, inscribed & dated by the author on the front free… end page in blue ink. There are are few small stains and a couple of pages with very light pencil marks. The boards are in good minus condition with light edge wear and some stains. The binding is tight and square. Signed by Author(s).
Weitere BilderVerlag: Physicians And Surgeons Book Company, Brooklyn, Ny, 1927
- Hardcover
- Erstausgabe
Anbieter: Lola's Antiques & Olde Books, Traverse City, MI, USALola's Antiques & Olde Books
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In den WarenkorbHardcover. Zustand: Good. 1st Edition. 1927 Ex-Library Book In Red Hard Cover In Good Condition. Slight Wear On Board Corners And Top And Bottom Of Spine, Some Soiling On Boards, Spine Faded And Wrinkled And Dust On Top Of Pages. Otherwise A Clean Tight Copy. This Is From The Archibald Church Library, Northwestern University Med…ical School 238 Pages Size: 8vo - over 7¾" - 9¾" tall. Ex-Library.

- Softcover
- Print-on-Demand
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Zustand: new. Questo è un articolo print on demand.

- Hardcover
- Print-on-Demand
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Sprache: Englisch
Verlag: Springer International Publishing, Springer Nature Switzerland Mär 2025, 2025
- Softcover
- Print-on-Demand
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book surveys the state of the art in explainable and interpretable reinforcement learning (RL) as relevant for robotics. While RL in general has grown in popularity and been applied to increasingly complex problems, several chall…enges have impeded the real-world adoption of RL algorithms for robotics and related areas. These include difficulties in preventing safety constraints from being violated and the issues faced by systems operators who desire explainable policies and actions. Robotics applications present a unique set of considerations and result in a number of opportunities related to their physical, real-world sensory input and interactions.The authors consider classification techniques used in past surveys and papers and attempt to unify terminology across the field. The book provides an in-depth exploration of 12 attributes that can be used to classify explainable/interpretable techniques. These include whether the RL method is model-agnostic or model-specific, self-explainable or post-hoc, as well as additional analysis of the attributes of scope, when-produced, format, knowledge limits, explanation accuracy, audience, predictability, legibility, readability, and reactivity. The book is organized around a discussion of these methods broken down into 42 categories and subcategories, where each category can be classified according to some of the attributes. The authors close by identifying gaps in the current research and highlighting areas for future investigation. 132 pp. Englisch.

- Hardcover
- Print-on-Demand
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EUR 58,84
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Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book surveys the state of the art in explainable and interpretable reinforcement learning (RL) as relevant for robotics. While RL in general has grown in popularity and been applied to increasingly complex problems, several challenges h…ave impeded the real-world adoption of RL algorithms for robotics and related areas. These include difficulties in preventing safety constraints from being violated and the issues faced by systems operators who desire explainable policies and actions. Robotics applications present a unique set of considerations and result in a number of opportunities related to their physical, real-world sensory input and interactions.The authors consider classification techniques used in past surveys and papers and attempt to unify terminology across the field. The book provides an in-depth exploration of 12 attributes that can be used to classify explainable/interpretable techniques. These include whether the RL method is model-agnostic or model-specific, self-explainable or post-hoc, as well as additional analysis of the attributes of scope, when-produced, format, knowledge limits, explanation accuracy, audience, predictability, legibility, readability, and reactivity. The book is organized around a discussion of these methods broken down into 42 categories and subcategories, where each category can be classified according to some of the attributes. The authors close by identifying gaps in the current research and highlighting areas for future investigation. 132 pp. Englisch.

Explainable and Interpretable Reinforcement Learning for Robotics (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Roth, Aaron M.; Manocha, Dinesh; Sriram, Ram D.; Tabassi, Elham
- Hardcover
- Print-on-Demand
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Zustand: New. Print on Demand.

Explainable and Interpretable Reinforcement Learning for Robotics (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Roth, Aaron M.; Manocha, Dinesh; Sriram, Ram D.; Tabassi, Elham
- Hardcover
- Print-on-Demand
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Zustand: New. PRINT ON DEMAND.

- Hardcover
- Print-on-Demand
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides readers with a categorization system to discuss explainable and interpretable RL techniquesExplores RL methodology specific to robotics applicationsExplains how interpretable RL algorithms can enhance trust, in…crease adoption, redu.

- Softcover
- Print-on-Demand
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book surveys the state of the art in explainable and interpretable reinforcement learning (RL) as relevant for robotics. While RL in general has grown in popularity and been applied to increasingly complex problems, several challenge…s have impeded the real-world adoption of RL algorithms for robotics and related areas. These include difficulties in preventing safety constraints from being violated and the issues faced by systems operators who desire explainable policies and actions. Robotics applications present a unique set of considerations and result in a number of opportunities related to their physical, real-world sensory input and interactions.The authors consider classification techniques used in past surveys and papers and attempt to unify terminology across the field. The book provides an in-depth exploration of 12 attributes that can be used to classify explainable/interpretable techniques. These include whether the RL method is model-agnostic or model-specific, self-explainable or post-hoc, as well as additional analysis of the attributes of scope, when-produced, format, knowledge limits, explanation accuracy, audience, predictability, legibility, readability, and reactivity. The book is organized around a discussion of these methods broken down into 42 categories and subcategories, where each category can be classified according to some of the attributes. The authors close by identifying gaps in the current research and highlighting areas for future investigation.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 132 pp. Englisch.

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Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschlandbuchversandmimpf2000
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Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book surveys the state of the art in explainable and interpretable reinforcement learning (RL) as relevant for robotics. While RL in general has grown in popularity and been applied to increasingly complex problems, several challenges have…impeded the real-world adoption of RL algorithms for robotics and related areas. These include difficulties in preventing safety constraints from being violated and the issues faced by systems operators who desire explainable policies and actions. Robotics applications present a unique set of considerations and result in a number of opportunities related to their physical, real-world sensory input and interactions.The authors consider classification techniques used in past surveys and papers and attempt to unify terminology across the field. The book provides an in-depth exploration of 12 attributes that can be used to classify explainable/interpretable techniques. These include whether the RL method is model-agnostic or model-specific, self-explainable or post-hoc, as well as additional analysis of the attributes of scope, when-produced, format, knowledge limits, explanation accuracy, audience, predictability, legibility, readability, and reactivity. The book is organized around a discussion of these methods broken down into 42 categories and subcategories, where each category can be classified according to some of the attributes. The authors close by identifying gaps in the current research and highlighting areas for future investigation.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 132 pp. Englisch.