Reinforcement Learning in Python by George Letton

Reinforcement Learning in Python

By George Letton

  • Release Date: 2017-06-02
  • Genre: Engineering
Score: 2.5
From 7 Ratings
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This book is an excellent introduction to reinforcement learning. This is a highly intuitive and accessible introduction to the recent major developments in reinforcement learning.

Very well structured and well written. The book has a clear separation between theory and examples and also demonstrate many applications from the theory. The theoretical ideas are very well clarified.

It covers several approaches (dynamic programming, monte carlo, temporal difference) and gives a lot of examples.

It presents the subject with an excellent balance of mathematical, computational and intuitive material. It also includes plenty of real-life examples to explain the concepts and motivations for the algorithms.

After reading this book you will definitely know the basics (even more) about reinforcement learning.

You want to learn the basics of reinforcement learning in python in the shortest possible amount of time?
You better grab this book and start reading​ it up!


Chapter 1: Intelligence and Artificial Intelligence
Chapter 2: Machine Learning
Chapter 3: Neurons and Neural Networks
Chapter 4: Deep Learning
Chapter 5: Mathematical Prerequisites
Chapter 6: Computer Languages
Chapter 7: Python
Chapter 8: A Simple Example
Chapter 9: Regression and Support Vector Machines

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  • This book got it all out!

    By Machinmetosh
    Amazing book. This will load your brain with machine learning and deep learning without even reading a word from the book. This is the book that gets it all to you in an instant, and for free.
  • Fake book

    By Dibau Naum h
    There's nothing there, just few pages of rubbish.
  • Don't waste your time

    By Hhshjsjjjjd
    A Useless book