T�tulo: Foundations of Deep Reinforcement Learning: Theory and Practice in Python (Addison-Wesley Data & Analytics Series)
Editor: Addison-Wesley Professional
Fecha de publicaci�n: 2019
Idioma: Ingl�s
ISBN 10: 0135172381
ISBN 13: 9780135172384
Encuadernaci�n: Encuadernaci�n de tapa blanda
Estado: New

Acerca de

Sinopsis

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 problem
Explore 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 asynchronously
Run algorithms in SLM Lab and learn the practical implementation details for getting deep RL to work
Explore algorithm benchmark results with tuned hyperparameters
Understand 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.

Acerca del autor

Laura 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.

Wah Loon Keng is an AI engineer at Machine Zone, where he applies deep reinforcement learning to industrial problems. He has a background in both theoretical physics and computer science.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

Established in 2010, Ubiquity Trade is an online procurement entity offering merchandise in a variety of industries, including books, media, education materials, and more. All merchandise is shipped brand-new from various facilities across the continental USA.

Ver la p�gina web de la librer�a

Informaci�n empresarial del vendedor

Ubiquity Trade
FL, U.S.A.

Condiciones de venta y env�o

Condiciones de venta

We guarantee the condition of every book as it's described on the Abebooks web sites. If
you're dissatisfied with your purchase (Incorrect Book/Not as Described/Damaged) or if the
order hasn't arrived, you're eligible for a refund within 30 days of the estimated delivery
date. If you've changed your mind about a book that you've ordered, please use the Ask
bookseller a question link to contact us and we'll respond within 2 business days.

Palexbooks
54391 Village Center Drive
No 53
Idyllwild, CA ...

M�s informaci�n

Derecho a cancelaci�n

Condiciones de env�o

Orders usually ship within 3 business days.

Tarifas de env�o de Estados Unidos de America a Espa�a

Tarifas de env�o de Estados Unidos de America a Espa�a
Cantidad del pedido	De 25 a 45 d�as h�biles	De 10 a 20 d�as h�biles
Primer art�culo	EUR 34.05	EUR 34.05

Los plazos de entrega los establecen los vendedores y var�an seg�n el transportista y la ubicaci�n. Los pedidos que pasan por la aduana pueden sufrir retrasos y los compradores son responsables de los aranceles o tarifas asociadas. Los vendedores pueden ponerse en contacto con usted en relaci�n con cargos adicionales para cubrir cualquier aumento en los costes de env�o de los art�culos.