Free download Hands-On Q-Learning with Python: Practical Q-learning with OpenAI Gym, Keras, and TensorFlow by Nazia Habib (Author). Published by Packtpub. English | 200 pages | PDF, CodeFiles | ISBN: 1789345804
Description
This book starts off by introducing you to reinforcement learning and Q-learning, in addition to helping you get familiar with OpenAI Gym as well as frameworks such as Keras and TensorFlow.
A few chapters into the book, you will gain insights into model-free Q-learning and use deep Q-networks and double deep Q-networks to solve complex problems. This book will guide you in exploring use cases such as self-driving vehicles and OpenAI Gym’s CartPole problem.
You will also learn how to tune and optimize Q-networks and their hyperparameters.
As you progress, you will understand the reinforcement learning approach to solving real-world problems. You will also explore how to use Q-learning and related algorithms in real-world applications such as scientific research. Toward the end, you’ll gain a sense of what’s in store for reinforcement learning.
By the end of this book, you will be equipped with the skills you need to solve reinforcement learning problems using Q-learning algorithms with OpenAI Gym, Keras, and TensorFlow.