Python Reinforcement Learning Projects
Autor: Sean Saito
Tema: COM004000 - COMPUTERS / Intelligence (AI) and Semantics; COM037000 - COMPUTERS / Machine Theory; COM044000 - COMPUTERS / Neural Networks
Editorial: Packt Publishing (2018-09-28)
978-1-78899-322-7
Deploy autonomous agents in business systems using powerful Python libraries and sophisticated reinforcement learning models
Key Features
Book Description
Reinforcement learning (RL) is the next big leap in the artificial intelligence domain, given that it is unsupervised, optimized, and fast. Python Reinforcement Learning Projects takes you through various aspects and methodologies of reinforcement learning, with the help of insightful projects.
You will learn about core concepts of reinforcement learning, such as Q-learning, Markov models, the Monte-Carlo process, and deep reinforcement learning. As you make your way through the book, you'll work on projects with various datasets, including numerical, text, video, and audio, and will gain...