Reinforcement Learning With Open AI, TensorFlow and Keras Using Python /

• Main Authors: Nandy, Abhishek (Author, http://id.loc.gov/vocabulary/relators/aut), Biswas, Manisha (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berkeley, CA : Apress : Imprint: Apress, 2018.
• Edition: 1st ed. 2018.
• Subjects: Artificial intelligence.; Python (Computer program language).; Artificial Intelligence.; Python.

Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You'll then work with theories related to reinforcement learning and see the concepts that bui...

Table of Contents:

• Chapter 1: Reinforcement Learning basics
• Chapter 2: Theory and Algorithms
• Chapter 3: Open AI basics
• Chapter 4: Getting to know Open AI and Open AI Gym the developers way
• Chapter 5: Reinforcement learning using Tensor Flow environment and Keras
• Chapter 6 Google's DeepMind and the future of Reinforcement Learning.