{"product_id":"9781789345803","title":"Hands-On Q-Learning with Python : Practical Q-learning with OpenAI Gym, Keras, and TensorFlow","description":"\u003cp\u003eLeverage the power of reward-based training for your deep learning models with Python\u003c\/p\u003e\n\n\u003cp\u003eKey Features\u003c\/p\u003e\n\n\u003cp\u003eUnderstand Q-learning algorithms to train neural networks using Markov Decision Process (MDP)\n\u003cbr\u003eStudy practical deep reinforcement learning using Q-Networks\n\u003cbr\u003eExplore state-based unsupervised learning for machine learning models\u003c\/p\u003e\n\n\u003cp\u003eBook DescriptionQ-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.\n\u003cbr\u003eThis book starts off by introducing you to reinforcement learning and Q-learning, in addition to helping you become 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 scientific research. Toward the end, you'll gain insight into what's in store for reinforcement learning.\n\u003cbr\u003eBy 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.What you will learn\u003c\/p\u003e\n\n\u003cp\u003eExplore the fundamentals of reinforcement learning and the state-action-reward process\n\u003cbr\u003eUnderstand Markov Decision Processes\n\u003cbr\u003eGet well-versed with libraries such as Keras, and TensorFlow\n\u003cbr\u003eCreate and deploy model-free learning and deep Q-learning agents with TensorFlow, Keras, and OpenAI Gym\n\u003cbr\u003eChoose and optimize a Q-network's learning parameters and fine-tune its performance\n\u003cbr\u003eDiscover real-world applications and use cases of Q-learning\u003c\/p\u003e\n\n\u003cp\u003eWho this book is forIf you are a machine learning developer, engineer, or professional who wants to explore the deep learning approach for a complex environment, then this is the book for you. Proficiency in Python programming and basic understanding of decision-making in reinforcement learning is assumed.\u003c\/p\u003e","brand":"Packt Publishing Limited","offers":[{"title":"Default Title","offer_id":48816311599339,"sku":"00000_00000_00000_00000","price":75.06,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0758\/4484\/5803\/files\/9781789345803-1.jpg?v=1781704120","url":"https:\/\/kinokuniya.com.sg\/zh\/products\/9781789345803","provider":"Books Kinokuniya Singapore","version":"1.0","type":"link"}