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Reinforcement Learning:Industrial Applications of Intelligent Agents

MRP: Rs.1,450.00
Price in points: 1450 points
9789385889509
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All Indian Reprints of O'Reilly are printed in Grayscale

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

Books

Author:
Phil Winder
Binding:
Paperback
Condition Type:
New
Country Origin:
India
Edition:
First
Gift Wrap:
N
Leadtime to ship in days (default):
Ships in 1-2 days
Leadtime to ship in days(if not in stock):
ships in 12-15 days
Pages:
408
Publication Date:
24/11/2020
Publisher:
Shroff/O'Reilly
Year:
2020

Dimensions

Dimensions (W x H x D):
7 x 9 x .8 inch

Table of Contents (9789385889509_toc.pdf, 389 Kb) [Download]