Applied Reinforcement Learning with Python With OpenAI Gym, Tensorflow, and Keras /

• Main Author: Beysolow II, Taweh (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berkeley, CA : Apress : Imprint: Apress, 2019.
• Edition: 1st ed. 2019.
• Subjects: Artificial intelligence.; Python (Computer program language).; Open source software.; Computer programming.; Artificial Intelligence.; Python.; Open Source.

Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important topics such as policy gradients and Q learning, and utilizes frameworks such as Tensorflow, Keras, and OpenAI Gym. Applied Reinforcement Learning with Python introdu...

Table of Contents:

• Chapter 1: Introduction to Reinforcement Learning
• Chapter 2: Reinforcement Learning Algorithms
• Chapter 3: Q Learning
• Chapter 4: Reinforcement Learning Based Market Making
• Chapter 5: Reinforcement Learning for Video Games. .