© Abhishek Nandy and Manisha Biswas  2018
Abhishek Nandy and Manisha BiswasReinforcement Learning https://doi.org/10.1007/978-1-4842-3285-9_2

2. RL Theory and Algorithms

Abhishek Nandy1  and Manisha Biswas2
Rm HIG L-2/4, Bldg Swaranika Co-Opt HSG, Kolkata, West Bengal, India
North 24 Parganas, West Bengal, India

This chapter covers how Reinforcement Learning works and explains the concepts behind it, including the different algorithms that form the basis of Reinforcement Learning.

The chapter explains these algorithms, but to start with, you will learn why Reinforcement Learning can be hard and see some different scenarios. The chapter also covers different ways that Reinforcement Learning can be implemented.

Along the way, the chapter formulates ...

Get Reinforcement Learning: With Open AI, TensorFlow and Keras Using Python now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.