20 Best Reinforcement Learning Ebooks [2024]

Are you looking for the best reinforcement learning ebooks? Based on expert reviews, we ranked them. We've listed our top-ranked picks, including the top-selling reinforcement learning ebooks.

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1 Reinforcement Learning, second edition: An Introduction (Adaptive Computation and Machine Learning... Reinforcement Learning, second edition: An Introduction (Adaptive Computation and Machine...
2 Deep Reinforcement Learning with Python: With PyTorch, TensorFlow and OpenAI Gym Deep Reinforcement Learning with Python: With PyTorch, TensorFlow and OpenAI Gym
3 Deep Reinforcement Learning Hands-On: Apply modern RL methods to practical problems of chatbots,... Deep Reinforcement Learning Hands-On: Apply modern RL methods to practical problems of chatbots,...
4 PyTorch 1.x Reinforcement Learning Cookbook: Over 60 recipes to design, develop, and deploy... PyTorch 1.x Reinforcement Learning Cookbook: Over 60 recipes to design, develop, and deploy...
5 Reinforcement Learning: Industrial Applications of Intelligent Agents Reinforcement Learning: Industrial Applications of Intelligent Agents
6 Mastering Reinforcement Learning with Python: Build next-generation, self-learning models using... Mastering Reinforcement Learning with Python: Build next-generation, self-learning models using...
7 Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning series) Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning series)
8 Grokking Deep Reinforcement Learning Grokking Deep Reinforcement Learning
9 Hands-On Reinforcement Learning with Python: Master reinforcement and deep reinforcement learning... Hands-On Reinforcement Learning with Python: Master reinforcement and deep reinforcement learning...
10 Multi-Agent Coordination: A Reinforcement Learning Approach (IEEE Press) Multi-Agent Coordination: A Reinforcement Learning Approach (IEEE Press)
11 Deep Reinforcement Learning with Python: Master classic RL, deep RL, distributional RL, inverse RL,... Deep Reinforcement Learning with Python: Master classic RL, deep RL, distributional RL, inverse...
12 Foundations of Deep Reinforcement Learning: Theory and Practice in Python (Addison-Wesley Data &... Foundations of Deep Reinforcement Learning: Theory and Practice in Python (Addison-Wesley Data &...
13 TensorFlow 2 Reinforcement Learning Cookbook: Over 50 recipes to help you build, train, and deploy... TensorFlow 2 Reinforcement Learning Cookbook: Over 50 recipes to help you build, train, and...
14 Deep Reinforcement Learning in Unity: With Unity ML Toolkit Deep Reinforcement Learning in Unity: With Unity ML Toolkit
15 Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value... Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value...
16 Hands-On Reinforcement Learning for Games: Implementing self-learning agents in games using... Hands-On Reinforcement Learning for Games: Implementing self-learning agents in games using...
17 Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and... Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and...
18 Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational... Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs,...
19 Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning... Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning...
20 Hands-On Intelligent Agents with OpenAI Gym: Your guide to developing AI agents using deep... Hands-On Intelligent Agents with OpenAI Gym: Your guide to developing AI agents using deep...
Bestseller No. 1
Reinforcement Learning, second edition: An Introduction (Adaptive Computation and Machine Learning...
  • Amazon Kindle Edition
  • Sutton, Richard S. (Author)
  • English (Publication Language)
  • 532 Pages - 11/13/2018 (Publication Date) - Bradford Books (Publisher)
Bestseller No. 2
Deep Reinforcement Learning with Python: With PyTorch, TensorFlow and OpenAI Gym
  • Amazon Kindle Edition
  • Sanghi, Nimish (Author)
  • English (Publication Language)
  • 524 Pages - 04/01/2021 (Publication Date) - Apress (Publisher)
Bestseller No. 3
Deep Reinforcement Learning Hands-On: Apply modern RL methods to practical problems of chatbots,...
  • Amazon Kindle Edition
  • Lapan, Maxim (Author)
  • English (Publication Language)
  • 828 Pages - 01/31/2020 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 4
PyTorch 1.x Reinforcement Learning Cookbook: Over 60 recipes to design, develop, and deploy...
  • Amazon Kindle Edition
  • Liu, Yuxi (Hayden) (Author)
  • English (Publication Language)
  • 527 Pages - 10/31/2019 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 5
Reinforcement Learning: Industrial Applications of Intelligent Agents
  • Amazon Kindle Edition
  • D., Phil Winder Ph. (Author)
  • English (Publication Language)
  • 611 Pages - 11/06/2020 (Publication Date) - O'Reilly Media (Publisher)
Bestseller No. 6
Mastering Reinforcement Learning with Python: Build next-generation, self-learning models using...
  • Amazon Kindle Edition
  • Bilgin, Enes (Author)
  • English (Publication Language)
  • 544 Pages - 12/18/2020 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 7
Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning series)
  • Amazon Kindle Edition
  • Sutton, Richard S. (Author)
  • English (Publication Language)
  • 02/26/1998 (Publication Date) - Bradford Books (Publisher)
Bestseller No. 8
Grokking Deep Reinforcement Learning
  • Amazon Kindle Edition
  • Morales, Miguel (Author)
  • English (Publication Language)
  • 472 Pages - 10/15/2020 (Publication Date) - Manning (Publisher)
Bestseller No. 9
Hands-On Reinforcement Learning with Python: Master reinforcement and deep reinforcement learning...
  • Amazon Kindle Edition
  • Ravichandiran, Sudharsan (Author)
  • English (Publication Language)
  • 320 Pages - 06/28/2018 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 10
Multi-Agent Coordination: A Reinforcement Learning Approach (IEEE Press)
  • Amazon Kindle Edition
  • Sadhu, Arup Kumar (Author)
  • English (Publication Language)
  • 310 Pages - 12/01/2020 (Publication Date) - Wiley-IEEE Press (Publisher)
Bestseller No. 11
Deep Reinforcement Learning with Python: Master classic RL, deep RL, distributional RL, inverse RL,...
  • Amazon Kindle Edition
  • Ravichandiran, Sudharsan (Author)
  • English (Publication Language)
  • 760 Pages - 09/30/2020 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 12
Foundations of Deep Reinforcement Learning: Theory and Practice in Python (Addison-Wesley Data &...
  • Amazon Kindle Edition
  • Graesser, Laura (Author)
  • English (Publication Language)
  • 416 Pages - 11/20/2019 (Publication Date) - Addison-Wesley Professional (Publisher)
Bestseller No. 13
TensorFlow 2 Reinforcement Learning Cookbook: Over 50 recipes to help you build, train, and deploy...
  • Amazon Kindle Edition
  • Palanisamy, Praveen (Author)
  • English (Publication Language)
  • 472 Pages - 01/15/2021 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 14
Deep Reinforcement Learning in Unity: With Unity ML Toolkit
  • Amazon Kindle Edition
  • Majumder, Abhilash (Author)
  • English (Publication Language)
  • 710 Pages - 12/26/2020 (Publication Date) - Apress (Publisher)
Bestseller No. 15
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value...
  • Amazon Kindle Edition
  • Lapan, Maxim (Author)
  • English (Publication Language)
  • 548 Pages - 06/21/2018 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 16
Hands-On Reinforcement Learning for Games: Implementing self-learning agents in games using...
  • Amazon Kindle Edition
  • Lanham, Micheal (Author)
  • English (Publication Language)
  • 432 Pages - 01/03/2020 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 17
Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and...
  • Amazon Kindle Edition
  • Dangeti, Pratap (Author)
  • English (Publication Language)
  • 444 Pages - 07/21/2017 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 18
Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational...
  • Amazon Kindle Edition
  • Atienza, Rowel (Author)
  • English (Publication Language)
  • 368 Pages - 10/31/2018 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 19
Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning...
  • Amazon Kindle Edition
  • Saito, Sean (Author)
  • English (Publication Language)
  • 298 Pages - 09/29/2018 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 20
Hands-On Intelligent Agents with OpenAI Gym: Your guide to developing AI agents using deep...
  • Amazon Kindle Edition
  • Palanisamy, Praveen (Author)
  • English (Publication Language)
  • 254 Pages - 07/31/2018 (Publication Date) - Packt Publishing (Publisher)

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After hours of searching and using all the models on the market, we have found the best reinforcement learning ebooks for 2023. See our ranking below!

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We understand, because we’ve already gone through the whole process of researching reinforcement learning ebooks, which is why we have assembled a comprehensive list of the greatest reinforcement learning ebooks available in the current market. We’ve also come up with a list of questions that you probably have yourself.

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  1. Brand Value: Every brand of reinforcement learning ebooks has a value all its own. Most brands offer some sort of unique selling proposition that’s supposed to bring something different to the table than their competitors.
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  7. Product Quality: You don’t always get what you pay for with an reinforcement learning ebooks, sometimes less, and sometimes more.
  8. Product Reliability: How sturdy and durable an reinforcement learning ebooks is should be an indication of how long it will work out for you.

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FAQ:

Q: What are the best books about reinforcement learning?

A: Best Books to learn Reinforcement learning: 1) Reinforcement Learning – An Introduction (Adaptive Computation and Machine Learning series) 2) Deep Reinforcement Learning Hands-On: Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more, 2nd Edition:

Q: What are the best resources to learn reinforcement learning?

A: Rich Sutton,Introduction to Reinforcement Learning with Function Approximation Rich Sutton,Temporal Difference Learning Andrew Barto,A history of reinforcement learning Deep Reinforcement Learning,David Silver,Pieter Abbeel,Sergey Levine and Chelsea Finn David Silver,Principles of Deep RL

Q: What do you think about reinforcement learning?

A: You can think of reinforcement learning as the ability that enables an agent to acquire all other abilities—all the other pieces of intelligence that it needs .

Q: What are the types of reinforcement learning?

A: Input: The input should be an initial state from which the model will start Output: There are many possible output as there are variety of solution to a particular problem Training: The training is based upon the input,The model will return a state and the user will decide to reward or punish the model based on its output.

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