Foundations of Deep Reinforcement Learning: Theory and Practice in Python

Laura Graesser

7 Bewertungen von Goodreads

Sprache: Englisch

Verlag: Pearson Education (US), 2020

0135172381 / 9780135172384

Serie: Buch 8 von 14 - Addison-Wesley Data & Analytics

  • Softcover
  • Gebraucht
Alle Details anzeigen

Anbieter: World of Books (was SecondSale), Montgomery, IL, USAWorld of Books (was SecondSale)

Verkäufer/-in mit 5 Sternen

Verkäufer:in bei ZVAB seit 20. Dezember 2007

Softcover

Zustand: Gebraucht - Befriedigend

EUR 21,12

 Versand gratis 
Versand innerhalb von USA

Anzahl: 1 verfügbar

In den Warenkorb
30 Tage kostenlose Rückgabe

Artikelbeschreibung des Verkäufers

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 problemExplore 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 asynchronouslyRun algorithms in SLM Lab and learn the practical implementation details for getting deep RL to workExplore algorithm benchmark results with tuned hyperparametersUnderstand 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.…

Bestandsnummer des Verkäufers CIN0135172381G

Titel
Foundations of Deep Reinforcement Learning: Theory and Practice in Python
Autor
Laura Graesser
Verlag
Pearson Education (US)
Erscheinungsjahr
2020
Zustand
Good
Einband
Paperback
Sprache
Englisch
ISBN-10
0135172381
ISBN-13
9780135172384
Serie
Buch 8 von 14: Addison-Wesley Data & Analytics

World of Books (was SecondSale)

Montgomery, IL, USA

Verkäufer/-in mit 5 Sternen

Verkäufer:in bei ZVAB seit 20. Dezember 2007

Versandkosten innerhalb von USA

Artikel4 bis 12 Werktage3 bis 6 Werktage
Erster ArtikelEUR 0,00EUR 9,81
Die Versandzeiten werden von den Verkäuferinnen und Verkäufern festgelegt. Sie variieren je nach Versanddienstleister und Standort. Sendungen, die den Zoll passieren, können Verzögerungen unterliegen. Eventuell anfallende Abgaben oder Gebühren sind von der Käuferin bzw. dem Käufer zu tragen. Die Verkäuferin bzw. der Verkäufer kann Sie bezüglich zusätzlicher Versandkosten kontaktieren, um einen möglichen Anstieg der Versandkosten für Ihre Artikel auszugleichen.

Zahlungsarten

  • Visa
  • Mastercard
  • American Express
  • Carte Bleue
  • Apple Pay
  • Google Pay

Shopbeschreibung

Founded in 2002, World of Books is a leading online destination for buying and selling both preloved and new books, committed to making sustainable reading accessible to all. With a mission to help people read more and waste less, World of Books offers a huge range of affordable, high-quality books — giving both new and preloved titles a second life. The company also operates World of Books – Sell Your Books, an easy-to-use platform that allows customers to trade in unwanted books for cash, helping to keep books in circulation while promoting sustainability. As a Certified B Corp, World of Books is driven by a vision to become the world’s largest and most sustainable dedicated online bookstore. The company measures its success through the positive environmental impact it creates, the value it provides to customers, and its ability to operate profitably while supporting its sustainable mission …

Unternehmensdaten der Verkäuferin bzw. des Verkäufers

SBYB, Inc.

900 Knell Rd
Montgomery, IL USA 60538