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

Python Reinforcement Learning Projects ebook cover

Deploy autonomous agents in business systems using powerful Python libraries and sophisticated reinforcement learning models

Key Features

  • Implement Q-learning and Markov models with Python and OpenAI
  • Explore the power of TensorFlow to build self-learning models
  • Eight AI projects to gain confidence in building self-trained applications

    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...