Da: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Paperback. Condizione: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.
Condizione: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 41,62
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Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Reinforcement Learning: Industrial Applications of Intelligent Agents. Book.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 47,31
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Aggiungi al carrelloPaperback. Condizione: New. Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to learn by reinforcement and enable a machine to learn by itself.Author Phil Winder of Winder Research covers everything from basic building blocks to state-of-the-art practices. You'll explore the current state of RL, focus on industrial applications, learn numerous algorithms, and benefit from dedicated chapters on deploying RL solutions to production. This is no cookbook; doesn't shy away from math and expects familiarity with ML.Learn what RL is and how the algorithms help solve problemsBecome grounded in RL fundamentals including Markov decision processes, dynamic programming, and temporal difference learningDive deep into a range of value and policy gradient methodsApply advanced RL solutions such as meta learning, hierarchical learning, multi-agent, and imitation learningUnderstand cutting-edge deep RL algorithms including Rainbow, PPO, TD3, SAC, and moreGet practical examples through the accompanying website.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 46,50
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Da: California Books, Miami, FL, U.S.A.
EUR 49,61
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EUR 42,94
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: GoldBooks, Denver, CO, U.S.A.
Paperback. Condizione: new. New Copy. Customer Service Guaranteed.
EUR 58,62
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to learn by reinforcement and enable a machine to learn by itself.Author Phil Winder of Winder Research covers everything from basic building blocks to state-of-the-art practices. You'll explore the current state of RL, focus on industrial applications, learn numerous algorithms, and benefit from dedicated chapters on deploying RL solutions to production. This is no cookbook; doesn't shy away from math and expects familiarity with ML.Learn what RL is and how the algorithms help solve problemsBecome grounded in RL fundamentals including Markov decision processes, dynamic programming, and temporal difference learningDive deep into a range of value and policy gradient methodsApply advanced RL solutions such as meta learning, hierarchical learning, multi-agent, and imitation learningUnderstand cutting-edge deep RL algorithms including Rainbow, PPO, TD3, SAC, and moreGet practical examples through the accompanying website.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 42,93
Quantità: 8 disponibili
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 50,24
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Da: Chiron Media, Wallingford, Regno Unito
EUR 46,67
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 53,69
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. 2020. Paperback. . . . . .
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 50,43
Quantità: 8 disponibili
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Da: Chiron Media, Wallingford, Regno Unito
EUR 55,23
Quantità: 3 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 52,45
Quantità: 6 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. 2020. Paperback. . . . . . Books ship from the US and Ireland.
Da: Revaluation Books, Exeter, Regno Unito
EUR 67,65
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 381 pages. 9.00x7.00x0.75 inches. In Stock.
EUR 66,50
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to learn by reinforcement and enable a machine to learn by itself.Author Phil Winder of Winder Research covers everything from basic building blocks to state-of-the-art practices. You'll explore the current state of RL, focus on industrial applications, learn numerous algorithms, and benefit from dedicated chapters on deploying RL solutions to production. This is no cookbook; doesn't shy away from math and expects familiarity with ML.- Learn what RL is and how the algorithms help solve problems- Become grounded in RL fundamentals including Markov decision processes, dynamic programming, and temporal difference learning- Dive deep into a range of value and policy gradient methods- Apply advanced RL solutions such as meta learning, hierarchical learning, multi-agent, and imitation learning- Understand cutting-edge deep RL algorithms including Rainbow, PPO, TD3, SAC, and more- Get practical examples through the accompanying website Englisch.
EUR 66,50
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to learn by reinforcement and enable a machine to learn by itself.Author Phil Winder of Winder Research covers everything from basic building blocks to state-of-the-art practices. You'll explore the current state of RL, focus on industrial applications, learn numerous algorithms, and benefit from dedicated chapters on deploying RL solutions to production. This is no cookbook; doesn't shy away from math and expects familiarity with ML.- Learn what RL is and how the algorithms help solve problems- Become grounded in RL fundamentals including Markov decision processes, dynamic programming, and temporal difference learning- Dive deep into a range of value and policy gradient methods- Apply advanced RL solutions such as meta learning, hierarchical learning, multi-agent, and imitation learning- Understand cutting-edge deep RL algorithms including Rainbow, PPO, TD3, SAC, and more- Get practical examples through the accompanying website Englisch.
EUR 43,70
Quantità: 1 disponibili
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Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
EUR 49,05
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Aggiungi al carrelloPaperback. Condizione: New. Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to learn by reinforcement and enable a machine to learn by itself.Author Phil Winder of Winder Research covers everything from basic building blocks to state-of-the-art practices. You'll explore the current state of RL, focus on industrial applications, learn numerous algorithms, and benefit from dedicated chapters on deploying RL solutions to production. This is no cookbook; doesn't shy away from math and expects familiarity with ML.Learn what RL is and how the algorithms help solve problemsBecome grounded in RL fundamentals including Markov decision processes, dynamic programming, and temporal difference learningDive deep into a range of value and policy gradient methodsApply advanced RL solutions such as meta learning, hierarchical learning, multi-agent, and imitation learningUnderstand cutting-edge deep RL algorithms including Rainbow, PPO, TD3, SAC, and moreGet practical examples through the accompanying website.
EUR 66,50
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to learn by reinforcement and enable a machine to learn by itself.Author Phil Winder of Winder Research covers everything from basic building blocks to state-of-the-art practices. You'll explore the current state of RL, focus on industrial applications, learn numerous algorithms, and benefit from dedicated chapters on deploying RL solutions to production. This is no cookbook; doesn't shy away from math and expects familiarity with ML.- Learn what RL is and how the algorithms help solve problems- Become grounded in RL fundamentals including Markov decision processes, dynamic programming, and temporal difference learning- Dive deep into a range of value and policy gradient methods- Apply advanced RL solutions such as meta learning, hierarchical learning, multi-agent, and imitation learning- Understand cutting-edge deep RL algorithms including Rainbow, PPO, TD3, SAC, and more- Get practical examples through the accompanying website.
Da: Saint Georges English Bookshop, Berlin, Germania
Prima edizione
EUR 80,00
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Very Good. 1st Edition. Like new hardcover, No dust jacket as supplied, Ships from Berlin Bookshop bxn59.
EUR 52,67
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This practical book shows data science and AI professionals how to perform.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 97,46
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.