Hands-On Q-Learning with Python
Hands-On Q-Learning with Python:
Practical Q-learning with OpenAI Gym, Keras, and TensorFlow
by Nazia Habib
English | 2019 | ISBN: 1789345804 | 200 Pages | PDF true | 9.48 MB
Practical Q-learning with OpenAI Gym, Keras, and TensorFlow
by Nazia Habib
English | 2019 | ISBN: 1789345804 | 200 Pages | PDF true | 9.48 MB
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.