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.
We Recommended:
- Amazon Kindle Edition
- Sutton, Richard S. (Author)
- English (Publication Language)
- 532 Pages - 11/13/2018 (Publication Date) - Bradford Books (Publisher)
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- 524 Pages - 04/01/2021 (Publication Date) - Apress (Publisher)
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- 828 Pages - 01/31/2020 (Publication Date) - Packt Publishing (Publisher)
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- D., Phil Winder Ph. (Author)
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- 611 Pages - 11/06/2020 (Publication Date) - O'Reilly Media (Publisher)
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- Bilgin, Enes (Author)
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- 544 Pages - 12/18/2020 (Publication Date) - Packt Publishing (Publisher)
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- Sutton, Richard S. (Author)
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- 02/26/1998 (Publication Date) - Bradford Books (Publisher)
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- Morales, Miguel (Author)
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- 472 Pages - 10/15/2020 (Publication Date) - Manning (Publisher)
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- Ravichandiran, Sudharsan (Author)
- English (Publication Language)
- 320 Pages - 06/28/2018 (Publication Date) - Packt Publishing (Publisher)
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- Sadhu, Arup Kumar (Author)
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- 310 Pages - 12/01/2020 (Publication Date) - Wiley-IEEE Press (Publisher)
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- Ravichandiran, Sudharsan (Author)
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- 760 Pages - 09/30/2020 (Publication Date) - Packt Publishing (Publisher)
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- Graesser, Laura (Author)
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- 416 Pages - 11/20/2019 (Publication Date) - Addison-Wesley Professional (Publisher)
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- Palanisamy, Praveen (Author)
- English (Publication Language)
- 472 Pages - 01/15/2021 (Publication Date) - Packt Publishing (Publisher)
- Amazon Kindle Edition
- Majumder, Abhilash (Author)
- English (Publication Language)
- 710 Pages - 12/26/2020 (Publication Date) - Apress (Publisher)
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- Lapan, Maxim (Author)
- English (Publication Language)
- 548 Pages - 06/21/2018 (Publication Date) - Packt Publishing (Publisher)
- Amazon Kindle Edition
- Lanham, Micheal (Author)
- English (Publication Language)
- 432 Pages - 01/03/2020 (Publication Date) - Packt Publishing (Publisher)
- Amazon Kindle Edition
- Dangeti, Pratap (Author)
- English (Publication Language)
- 444 Pages - 07/21/2017 (Publication Date) - Packt Publishing (Publisher)
- Amazon Kindle Edition
- Atienza, Rowel (Author)
- English (Publication Language)
- 368 Pages - 10/31/2018 (Publication Date) - Packt Publishing (Publisher)
- Amazon Kindle Edition
- Saito, Sean (Author)
- English (Publication Language)
- 298 Pages - 09/29/2018 (Publication Date) - Packt Publishing (Publisher)
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- Palanisamy, Praveen (Author)
- English (Publication Language)
- 254 Pages - 07/31/2018 (Publication Date) - Packt Publishing (Publisher)
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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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