Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 0.55.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
US$ 31.49
Convert currencyQuantity: Over 20 available
Add to basketCondition: New.
Seller: Lakeside Books, Benton Harbor, MI, U.S.A.
US$ 30.15
Convert currencyQuantity: Over 20 available
Add to basketCondition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Applied Reinforcement Learning with Python: With Openai Gym, Tensorflow, and Keras 0.63. Book.
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
US$ 33.30
Convert currencyQuantity: Over 20 available
Add to basketCondition: New.
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
US$ 35.59
Convert currencyQuantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 43.51
Convert currencyQuantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 49.00
Convert currencyQuantity: Over 20 available
Add to basketCondition: New. In.
Seller: Chiron Media, Wallingford, United Kingdom
US$ 44.53
Convert currencyQuantity: 10 available
Add to basketPF. Condition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 47.98
Convert currencyQuantity: Over 20 available
Add to basketCondition: New.
Seller: Revaluation Books, Exeter, United Kingdom
US$ 50.29
Convert currencyQuantity: 2 available
Add to basketPaperback. Condition: Brand New. 168 pages. 9.00x6.00x0.50 inches. In Stock.
Published by Apress, Apress Aug 2019, 2019
ISBN 10: 1484251261 ISBN 13: 9781484251263
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
US$ 57.93
Convert currencyQuantity: 2 available
Add to basketTaschenbuch. Condition: Neu. Neuware -Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important topics such as policy gradients and Q learning, and utilizes frameworks such as Tensorflow, Keras, and OpenAI Gym.Applied Reinforcement Learning with Python introduces you to the theory behind reinforcement learning (RL) algorithms and the code that will be used to implement them. You will take a guided tour through features of OpenAI Gym, from utilizing standard libraries to creating your own environments, then discover how to frame reinforcement learning problems so you can research, develop, and deploy RL-based solutions.What You'll LearnImplement reinforcement learning with PythonWork with AI frameworks such as OpenAI Gym, Tensorflow, and KerasDeploy and train reinforcement learning¿based solutions via cloud resourcesApply practical applications of reinforcement learningWho This Book Is ForData scientists, machine learning engineers and software engineers familiar with machine learning and deep learning concepts.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 184 pp. Englisch.
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
US$ 54.99
Convert currencyQuantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 184.
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
US$ 57.93
Convert currencyQuantity: 2 available
Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important topics such as policy gradients and Q learning, and utilizes frameworks such as Tensorflow, Keras, and OpenAI Gym. Applied Reinforcement Learning with Python introduces you to the theory behind reinforcement learning (RL) algorithms and the code that will be used to implement them. You will take a guided tour through features of OpenAI Gym, from utilizing standard libraries to creating your own environments, then discover how to frame reinforcement learning problems so you can research, develop, and deploy RL-based solutions.What You'll LearnImplement reinforcement learning with PythonWork with AI frameworks such as OpenAI Gym, Tensorflow, and KerasDeploy and train reinforcement learning-based solutions via cloud resourcesApply practical applications of reinforcement learning Who This Book Is ForData scientists, machine learning engineers and software engineers familiar with machine learning and deep learning concepts. 184 pp. Englisch.
Seller: moluna, Greven, Germany
US$ 48.61
Convert currencyQuantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Beginning-Intermediate|Understand how to package and deploy solutions in Python that utilize deep learningIncludes specific topics such as Q learning and deep reinforcement-learningCovers the latest reinforcement learning p.
Seller: AHA-BUCH GmbH, Einbeck, Germany
US$ 58.64
Convert currencyQuantity: 1 available
Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important topics such as policy gradients and Q learning, and utilizes frameworks such as Tensorflow, Keras, and OpenAI Gym. Applied Reinforcement Learning with Python introduces you to the theory behind reinforcement learning (RL) algorithms and the code that will be used to implement them. You will take a guided tour through features of OpenAI Gym, from utilizing standard libraries to creating your own environments, then discover how to frame reinforcement learning problems so you can research, develop, and deploy RL-based solutions.What You'll LearnImplement reinforcement learning with PythonWork with AI frameworks such as OpenAI Gym, Tensorflow, and KerasDeploy and train reinforcement learning-based solutions via cloud resourcesApply practical applications of reinforcement learning Who This Book Is ForData scientists, machine learning engineers and software engineers familiar with machine learning and deep learning concepts.