Hands-On Q-Learning with Python: Practical Q-learning with OpenAI Gym, Keras, and TensorFlow (True EPUB)

[BaDshaH]

Hands-On Q-Learning with Python: Practical Q-learning with OpenAI Gym, Keras, and TensorFlow (True EPUB)

English | 2019 | ISBN: 9781789345803 | 200 Pages | True EPUB MOBI | 27 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.

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