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Paperback. Condition: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.
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Reinforcement Learning: Indust
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Reinforcement Learning: Indust
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Reinforcement Learning: Industrial Applications of Intelligent Agents (Paperback or Softback)
Language: English
Published by O'Reilly Media 12/1/2020, 2020
ISBN 10: 1098114833 ISBN 13: 9781098114831
Paperback or Softback. Condition: New. Reinforcement Learning: Industrial Applications of Intelligent Agents. Book.
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Sexual Crime, Religion and Spirituality
Book 4 of 6: Sexual CrimeSeller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
Seller rating 5 out of 5 stars
US$ 39.08
US$ 14.25 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Paperback. Condition: 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.
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Condition: As New. Unread book in perfect condition.
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Reinforcement Learning
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Paperback. Condition: new. New Copy. Customer Service Guaranteed.
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Reinforcement Learning (Paperback)
Language: English
Published by O'Reilly Media, Sebastopol, 2020
ISBN 10: 1098114833 ISBN 13: 9781098114831
Paperback. Condition: new. Paperback. 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 perform the reinforcement process that allows a machine to learn by itself.Author Dr. 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, focusing on industrial applications, and learn numerous algorithms, frameworks, and environments. This is no cookbook-it 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 value methods and policy gradient methods Apply advanced RL implementations such as meta learning, hierarchical learning, evolutionary algorithms, and imitation learning Understand cutting-edge deep RL algorithms including Rainbow, PPO, TD3, SAC, and more Get practical examples through the accompanying Git repository" 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 the reinforcement process that allows a machine to learn by itself. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Reinforcement Learning
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: 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.
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Reinforcement Learning : Industrial Applications of Intelligent Agents
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 50.42
US$ 20.09 shipping
Ships from United Kingdom to U.S.A.Quantity: 8 available
Add to basketCondition: New.
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Reinforcement Learning: Industrial Applications of Intelligent Agents
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 57.98
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Add to basketCondition: New. In.
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Reinforcement Learning: Industrial Applications of Intelligent Agents
Language: English
Published by O'Reilly Media 2020-11-30, 2020
ISBN 10: 1098114833 ISBN 13: 9781098114831
US$ 53.86
US$ 20.75 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: New.
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Reinforcement Learning: Industrial Applications of Intelligent Agents
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2020. Paperback. . . . . .
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Reinforcement Learning : Industrial Applications of Intelligent Agents
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 58.04
US$ 20.09 shipping
Ships from United Kingdom to U.S.A.Quantity: 8 available
Add to basketCondition: As New. Unread book in perfect condition.
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Reinforcement Learning: Industrial Applications of Intelligent Agents
Language: English
Published by O'Reilly Media 2020-11-30, 2020
ISBN 10: 1098114833 ISBN 13: 9781098114831
US$ 64.21
US$ 20.75 shipping
Ships from United Kingdom to U.S.A.Quantity: 3 available
Add to basketPaperback. Condition: New.
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Condition: New. 2020. Paperback. . . . . . Books ship from the US and Ireland.
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Reinforcement Learning: Industrial Applications of Intelligent Agents
Language: English
Published by O'Reilly Media, Inc, USA, 2020
ISBN 10: 1098114833 ISBN 13: 9781098114831
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 63.84
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Ships from United Kingdom to U.S.A.Quantity: 10 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Reinforcement Learning: Industrial Applications of Intelligent Agents
Language: English
Published by Oreilly & Associates Inc, 2020
ISBN 10: 1098114833 ISBN 13: 9781098114831
US$ 77.42
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Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 381 pages. 9.00x7.00x0.75 inches. In Stock.
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Reinforcement Learning
Language: English
Published by O'reilly Media Dez 2020, 2020
ISBN 10: 1098114833 ISBN 13: 9781098114831
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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.
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Reinforcement Learning
Language: English
Published by O'reilly Media Dez 2020, 2020
ISBN 10: 1098114833 ISBN 13: 9781098114831
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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US$ 50.43
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Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketCondition: NEW.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Paperback. Condition: 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.
