You're reading from Python Machine Learning by Example Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn

Product type Paperback

Published in Oct 2020

Publisher Packt

ISBN-13 9781800209718

Length 526 pages

Edition 3rd Edition

Languages

Python

Tools

PyTorch

Concepts

Machine Learning

Author (1):

Yuxi (Hayden) Liu

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Table of Contents (17) Chapters

Preface

1. Getting Started with Machine Learning and Python

2. Building a Movie Recommendation Engine with Naïve Bayes FREE CHAPTER

3. Recognizing Faces with Support Vector Machine

4. Predicting Online Ad Click-Through with Tree-Based Algorithms

5. Predicting Online Ad Click-Through with Logistic Regression

6. Scaling Up Prediction to Terabyte Click Logs

7. Predicting Stock Prices with Regression Algorithms

8. Predicting Stock Prices with Artificial Neural Networks

9. Mining the 20 Newsgroups Dataset with Text Analysis Techniques

10. Discovering Underlying Topics in the Newsgroups Dataset with Clustering and Topic Modeling

11. Machine Learning Best Practices

12. Categorizing Images of Clothing with Convolutional Neural Networks

13. Making Predictions with Sequences Using Recurrent Neural Networks

14. Making Decisions in Complex Environments with Reinforcement Learning

15. Other Books You May Enjoy

16. Index

Introducing reinforcement learning with examples

In this chapter, I will first introduce the elements of reinforcement learning along with an interesting example, then will move on to how we measure feedback from the environment, and follow with the fundamental approaches to solve reinforcement learning problems.

Elements of reinforcement learning

You may have played Super Mario (or Sonic) when you were young. During the video game, you control Mario to collect coins and avoid obstacles at the same time. The game ends if Mario hits an obstacle or falls in a gap. And you try to get as many coins as possible before the game ends.

Reinforcement learning is very similar to the Super Mario game. Reinforcement learning is about learning what to do. It observes the situations in the environment and determines the right actions in order to maximize a numerical reward. Here is the list of elements in a reinforcement learning task (I also link each element to Super Mario and other...