In action - 9781617295430 - deep reinforcement learning in action di zai, alexander; brown, brandon (22 risultati)

Condizione: Very Good. Minimal wear to cover. Pages clean and binding tight. shelf wear. bumped edges. Paperback.

Condizione: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Paperback or Softback. Condizione: New. Deep Reinforcement Learning in Action. Book.

Paperback. Condizione: new. New Copy. Customer Service Guaranteed.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

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.

Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condizione: New. pp. 325 First Edition NO-PA16APR2015-KAP.

Condizione: New. 2020. 1st Edition. Paperback. . . . . .

Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.

Condizione: New. pp. 325.

Condizione: New. pp. 325.

Condizione: New. In.

Paperback. Condizione: New.

Condizione: New. 2020. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.

Paperback. Condizione: Brand New. 359 pages. 9.00x7.25x0.75 inches. In Stock.

Taschenbuch. Condizione: Neu. Neuware - Humans learn best from feedback-we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical skills and techniques you'll need to implement it into your own projects.Key features- Structuring problems as Markov Decision Processes - Popular algorithms such Deep Q-Networks, Policy Gradient method and Evolutionary Algorithms and the intuitions that drive them - Applying reinforcement learning algorithms to real-world problemsAudienceYou'll need intermediate Python skills and a basic understanding of deep learning.About the technologyDeep reinforcement learning is a form of machine learning in which AI agents learn optimal behavior from their own raw sensory input. The system perceives the environment, interprets the results of its past decisions, and uses this information to optimize its behavior for maximum long-term return. Deep reinforcement learning famously contributed to the success of AlphaGo but that's not all it can do.…

Condizione: NEW.

Kartoniert / Broschiert. Condizione: New. Humans learn best from feedback-we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex pro.

Paperback. Condizione: Brand New. 359 pages. 9.00x7.25x0.75 inches. In Stock. This item is printed on demand.