Dialogue agents and chatbots have been on the rise in recent years. Many businesses have resorted to chatbots to answer customer inquiries, and this has been largely successful. Chatbots have been growing quickly, at 5.6x in the last year (https://chatbotsmagazine.com/chatbot-report-2018-global-trends-and-analysis-4d8bbe4d924b). Chatbots can help organizations to communicate and interact with customers without any human intervention, at a very minimal cost. Over 51% of customers have stated that they want businesses to be available 24/7, and they expect replies in less than one hour. For businesses to achieve this kind of success in an affordable manner, especially with a large customer base, they must resort to chatbots.
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Python Reinforcement Learning Projects
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Python Reinforcement Learning Projects
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Overview of this book
Reinforcement learning is one of the most exciting and rapidly growing fields in machine learning. This is due to the many novel algorithms developed and incredible results published in recent years.
In this book, you will learn about the core concepts of RL including Q-learning, policy gradients, Monte Carlo processes, and several deep reinforcement learning algorithms. As you make your way through the book, you'll work on projects with datasets of various modalities including image, text, and video. You will gain experience in several domains, including gaming, image processing, and physical simulations. You'll explore technologies such as TensorFlow and OpenAI Gym to implement deep learning reinforcement learning algorithms that also predict stock prices, generate natural language, and even build other neural networks.
By the end of this book, you will have hands-on experience with eight reinforcement learning projects, each addressing different topics and/or algorithms. We hope these practical exercises will provide you with better intuition and insight about the field of reinforcement learning and how to apply its algorithms to various problems in real life.
Table of Contents (12 chapters)
Preface
Free Chapter
Up and Running with Reinforcement Learning
Balancing CartPole
Playing Atari Games
Simulating Control Tasks
Building Virtual Worlds in Minecraft
Learning to Play Go
Creating a Chatbot
Generating a Deep Learning Image Classifier
Predicting Future Stock Prices
Looking Ahead
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