Hallo! Tracked shipping to Austria with Delivery Duty Paid for just €3.99  

Ship to
Austria
0
  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

Select your country

Americas

Europe

Rest of the world

portada Reinforcement Learning: Industrial Applications of Intelligent Agents
Type
Physical Book
Publisher
Language
English
Pages
405
Format
Paperback
Dimensions
23.3x17.8x2.1 cm
Weight
0.65 kg.
ISBN13
9781098114831

Reinforcement Learning: Industrial Applications of Intelligent Agents

Phil Winder (Author) · O'Reilly Media · Paperback

Reinforcement Learning: Industrial Applications of Intelligent Agents - Winder, Phil

New Book Imported to Austria
Delivery: 17 Nov - 19 Nov Shipping: 1 to 2 business days.
71,90 €
Used BookGood Condition Imported to Austria
Delivery: 27 Nov - 07 Dec Shipping: 9 to 14 business days.
36,25 €
Import costs and 10% VAT included in the price ✅
71,90 €

Synopsis "Reinforcement Learning: Industrial Applications of Intelligent Agents"

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

Customers reviews

Frequently Asked Questions about the Book

All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews