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Hands-on Q-learning with Python : a practical Q-learning with OpenAI Gym, Keras, and TensorFlow by Nazia Habib is a nonfiction available to read on EtoBox.

What is Hands-on Q-learning with Python : a practical Q-learning with OpenAI Gym, Keras, and TensorFlow about?

Key Features Use Q-learning to train deep learning models using Markov decision processes (MDPs) Study practical deep reinforcement learning using deep Q-networks Explore state-based unsupervised learning for machine learning models Q-learning is a machine learning algorithm used to solve optimization problems in artificial intelligence (AI). It is one of the most popular fields of study among AI researchers. 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 libraries 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,

Who reads Hands-on Q-learning with Python : a practical Q-learning with OpenAI Gym, Keras, and TensorFlow?

Author

Nazia Habib

Publisher

Packt Publishing, Limited

Published

2019

Language

EN

ISBN

9781789345803

Category

nonfiction

Subjects

Language Learning, Science, Computer Science

Updated

2026-03-24