Keng wah loon (23 risultati)
Lingua: Inglese
Editore: Addison-Wesley Professional, 2019
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Da: HPB-Red, Dallas, TX, U.S.A.HPB-Red
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EUR 13,14
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Paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.
Lingua: Inglese
Editore: Addison-Wesley Professional (edition 1), 2019
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Da: BooksRun, Philadelphia, PA, U.S.A.BooksRun
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EUR 17,27
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Paperback. Condizione: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Lingua: Inglese
Editore: Addison-Wesley Professional, 2019
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Da: Evergreen Goodwill, Seattle, WA, U.S.A.Evergreen Goodwill
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EUR 15,70
EUR 3,45 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
paperback. Condizione: Acceptable. Pages include notes, underlining, or highlighting.
Lingua: Inglese
Editore: Addison-Wesley Professional (edition 1), 2019
- Brossura
Da: BooksRun, Philadelphia, PA, U.S.A.BooksRun
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EUR 23,66
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Paperback. Condizione: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Lingua: Inglese
Editore: Addison-Wesley Professional, 2019
- Brossura
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 41,58
EUR 2,28 spedizioneSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Addison-Wesley Professional, 2019
- Brossura
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 45,46
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Condizione: New.
Lingua: Inglese
Editore: Pearson Education (US), US, 2020
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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EUR 47,81
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Paperback. Condizione: New. The Contemporary Introduction to Deep Reinforcement Learning that Combines Theory and Practice Deep reinforcement learning (deep RL) combines deep learning and reinforcement learning, in which artificial agents learn to solve sequential decision-making problems. In the past decade deep RL has achieved… remarkable results on a range of problems, from single and multiplayer games-such as Go, Atari games, and DotA 2-to robotics. Foundations of Deep Reinforcement Learning is an introduction to deep RL that uniquely combines both theory and implementation. It starts with intuition, then carefully explains the theory of deep RL algorithms, discusses implementations in its companion software library SLM Lab, and finishes with the practical details of getting deep RL to work. This guide is ideal for both computer science students and software engineers who are familiar with basic machine learning concepts and have a working understanding of Python. Understand each key aspect of a deep RL problemExplore policy- and value-based algorithms, including REINFORCE, SARSA, DQN, Double DQN, and Prioritized Experience Replay (PER)Delve into combined algorithms, including Actor-Critic and Proximal Policy Optimization (PPO)Understand how algorithms can be parallelized synchronously and asynchronouslyRun algorithms in SLM Lab and learn the practical implementation details for getting deep RL to workExplore algorithm benchmark results with tuned hyperparametersUnderstand how deep RL environments are designed Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Lingua: Inglese
Editore: Addison-Wesley Professional, 2019
- Brossura
Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 52,50
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Condizione: New.
Lingua: Inglese
Editore: Pearson Education (US), US, 2020
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Da: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
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EUR 55,65
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Paperback. Condizione: New. The Contemporary Introduction to Deep Reinforcement Learning that Combines Theory and Practice Deep reinforcement learning (deep RL) combines deep learning and reinforcement learning, in which artificial agents learn to solve sequential decision-making problems. In the past decade deep RL has achieved… remarkable results on a range of problems, from single and multiplayer games-such as Go, Atari games, and DotA 2-to robotics. Foundations of Deep Reinforcement Learning is an introduction to deep RL that uniquely combines both theory and implementation. It starts with intuition, then carefully explains the theory of deep RL algorithms, discusses implementations in its companion software library SLM Lab, and finishes with the practical details of getting deep RL to work. This guide is ideal for both computer science students and software engineers who are familiar with basic machine learning concepts and have a working understanding of Python. Understand each key aspect of a deep RL problemExplore policy- and value-based algorithms, including REINFORCE, SARSA, DQN, Double DQN, and Prioritized Experience Replay (PER)Delve into combined algorithms, including Actor-Critic and Proximal Policy Optimization (PPO)Understand how algorithms can be parallelized synchronously and asynchronouslyRun algorithms in SLM Lab and learn the practical implementation details for getting deep RL to workExplore algorithm benchmark results with tuned hyperparametersUnderstand how deep RL environments are designed Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Lingua: Inglese
Editore: Addison-Wesley Professional, 2019
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 40,52
EUR 17,54 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Condizione: New.
Lingua: Inglese
Editore: Addison-Wesley Professional, 2019
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 42,77
EUR 17,54 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Addison-Wesley Professional, 2019
- Brossura
Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 46,69
EUR 14,01 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Condizione: New. In.
Lingua: Inglese
Editore: Addison-Wesley Professional, 2019
- Brossura
Da: Ubiquity Trade, Miami, FL, U.S.A.Ubiquity Trade
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EUR 59,58
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Condizione: New. Brand new! Please provide a physical shipping address.
Lingua: Inglese
Editore: Addison-Wesley Professional, 2019
- Brossura
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.Romtrade Corp.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 62,84
Spedizione gratuitaSpedito in U.S.A.Quantità: 5 disponibili
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Lingua: Inglese
Editore: Prentice-Hall, 2019
- Brossura
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 59,39
EUR 3,45 spedizioneSpedito in U.S.A.Quantità: 2 disponibili
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Prentice-Hall, 2019
- Brossura
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 56,71
EUR 7,60 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Condizione: New.
Lingua: Inglese
Editore: Addison-Wesley Professional, 2019
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Da: SMASS Sellers, IRVING, TX, U.S.A.SMASS Sellers
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EUR 65,21
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Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
Lingua: Inglese
Editore: Prentice-Hall, 2019
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 58,02
EUR 9,95 spedizioneSpedito da Germania a U.S.A.Quantità: 4 disponibili
Condizione: New.
Lingua: Inglese
Editore: Addison-Wesley Professional, 2019
- Brossura
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 65,52
EUR 14,62 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Paperback. Condizione: Brand New. 379 pages. 9.00x7.00x0.50 inches. In Stock.
Lingua: Inglese
Editore: Addison Wesley, 2020
- Brossura
Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 48,68
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Condizione: New. Über den AutorLaura Graesser is a research software engineer working in robotics at Google. She holds a master s degree in computer science from New York University, where she specialized in machine learning.
Lingua: Inglese
Editore: Pearson Education (US), US, 2020
- Brossura
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.Rarewaves USA United
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 57,59
EUR 43,19 spedizioneSpedito in U.S.A.Quantità: Più di 20 disponibili
Paperback. Condizione: New. The Contemporary Introduction to Deep Reinforcement Learning that Combines Theory and Practice Deep reinforcement learning (deep RL) combines deep learning and reinforcement learning, in which artificial agents learn to solve sequential decision-making problems. In the past decade deep RL has achieved… remarkable results on a range of problems, from single and multiplayer games-such as Go, Atari games, and DotA 2-to robotics. Foundations of Deep Reinforcement Learning is an introduction to deep RL that uniquely combines both theory and implementation. It starts with intuition, then carefully explains the theory of deep RL algorithms, discusses implementations in its companion software library SLM Lab, and finishes with the practical details of getting deep RL to work. This guide is ideal for both computer science students and software engineers who are familiar with basic machine learning concepts and have a working understanding of Python. Understand each key aspect of a deep RL problemExplore policy- and value-based algorithms, including REINFORCE, SARSA, DQN, Double DQN, and Prioritized Experience Replay (PER)Delve into combined algorithms, including Actor-Critic and Proximal Policy Optimization (PPO)Understand how algorithms can be parallelized synchronously and asynchronouslyRun algorithms in SLM Lab and learn the practical implementation details for getting deep RL to workExplore algorithm benchmark results with tuned hyperparametersUnderstand how deep RL environments are designed Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Lingua: Inglese
Editore: Pearson Education (US), US, 2020
- Brossura
Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 43,23
EUR 76,00 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: New. The Contemporary Introduction to Deep Reinforcement Learning that Combines Theory and Practice Deep reinforcement learning (deep RL) combines deep learning and reinforcement learning, in which artificial agents learn to solve sequential decision-making problems. In the past decade deep RL has achieved… remarkable results on a range of problems, from single and multiplayer games-such as Go, Atari games, and DotA 2-to robotics. Foundations of Deep Reinforcement Learning is an introduction to deep RL that uniquely combines both theory and implementation. It starts with intuition, then carefully explains the theory of deep RL algorithms, discusses implementations in its companion software library SLM Lab, and finishes with the practical details of getting deep RL to work. This guide is ideal for both computer science students and software engineers who are familiar with basic machine learning concepts and have a working understanding of Python. Understand each key aspect of a deep RL problemExplore policy- and value-based algorithms, including REINFORCE, SARSA, DQN, Double DQN, and Prioritized Experience Replay (PER)Delve into combined algorithms, including Actor-Critic and Proximal Policy Optimization (PPO)Understand how algorithms can be parallelized synchronously and asynchronouslyRun algorithms in SLM Lab and learn the practical implementation details for getting deep RL to workExplore algorithm benchmark results with tuned hyperparametersUnderstand how deep RL environments are designed Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Lingua: Inglese
Editore: Addison-Wesley Professional, 2019
- Brossura
- Print on Demand
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 50,84
EUR 14,62 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: Brand New. 379 pages. 9.00x7.00x0.50 inches. In Stock. This item is printed on demand.
