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Reinforcement Learning with Python: A Short Overview of Reinforcement Learning with Python

Narrated by: William Bahl
Length: 2 hrs and 32 mins
3 out of 5 stars (4 ratings)

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Publisher's Summary

Reinforcement Learning with Python

Reinforcement learning is one of those data science fields which will most certainly shape the world. The changes are already visible since we have self-driving cars, robots and much more we used to see only in some futuristic movies. Reinforcement learning is a widely used machine learning technique, a computational approach when it comes to the different software agents which are trying to maximize the total amount of possible rewards they receive while interacting with some uncertain as well as very complex environments.

This book is divided into seven chapters in which you will get to reinforcement techniques and methodology better. The first chapters will introduce you to the main concept laying being reinforcement learning techniques. Further, you will see what the difference between reinforcement learning and other machine learning techniques is. The book also provides some of the basic solution methods when it comes to the Markov decision processes, dynamic programming, Monte Carlo methods and temporal difference learning.

What you will learn in this book:

  • Types of fundamental machine learning algorithms in comparison to reinforcement learning
  • Essentials of reinforcement learning process
  • Marko decision processes and basic parameters
  • How to integrate reinforcement learning algorithm using OpenAI Gym
  • How to integrate Monte Carlo methods for prediction
  • Monte Carlo tree search
  • Dynamic programming in Python for policy evaluation, policy iteration and value iteration
  • Temporal difference learning or TD
  • And much, much more....

Listen to this book now and learn more about reinforcement learning with Python!

©2017 Anthony Williams (P)2017 Anthony Williams

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Just what I was looking for!

It is a very good book easy to listen and follow but I found that is necessary to all who in need of this topic.

  • Overall
    1 out of 5 stars

Code samples and audiobooks - worst idea ever

nobody wants to listen to def env: a = {[0 .. 1] ..... read aloud

0 of 1 people found this review helpful

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  • Anonymous User
  • 10-10-18

reinforcement learning made simple. Simple solid


reinforcement learning made simple. Simple solid math when needed, with good python code.
Solid introduction to reinforcement learning traditional strategies and modern deep reinforcement learning.
Definitively recommend.

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  • Anonymous User
  • 10-06-18

detailed guide


I have not gone through all the chapters yet but this looks promising for detailed knowledge. Great to have this book.

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  • Anonymous User
  • 10-06-18

chang your life

It would be a companion to this one when your finished. And if you like me 'Exercise Change' is a good book on what it takes to make changes in your life.

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  • Percy Tapia
  • 10-06-18

excellent book


Bought go the library at our office to assist the personnel in dealing with problems which were occurring in the plant. But they will have to listen them to gather the knowledge on how to handle the plant folks.

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  • Peter
  • 10-03-18

Very nice examples

The author really knows reinforcement learning. I guess he is smart too. He explains the whole idea in a very clear/smart way.

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  • Alex
  • 10-03-18

Easy to follow

It is easy to follow, with many useful code examples. The author has put a lot of effort into the practical examples making this an excellent book for Reinforcement Learning.

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  • Ameila
  • 10-03-18

INCREDIBLE

Overall, this seems like a great starting point for someone who has heard of Deep RL and would like to get into the practical aspects of programming it, since libraries such at Reinforcement may otherwise look a bit daunting.

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  • Charlie
  • 10-03-18

Learning with Python

The author describes the main RL topics through several examples, while limiting the theory to the minimum necessary, and introduces core concepts only when needed for implementation.

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  • Victor
  • 10-03-18

Accessible resources

If you are trying to crack the nut into Reinforcement Learning then this seems to be one of the more accessible resources. There are also many articles on the web that have similar information.

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  • Anonymous User
  • 10-03-18

Helpful guide

The Reinforcement Learning with Python is a concept worth studying. Interesting read. If you are new to this concept you need to read this book more than once.