Liu PyTorch 1.x Reinforcement Learning Cookbook

Over 60 recipes to design, develop, and deploy self-learning AI models using Python
1. Auflage 2019
ISBN: 978-1-83855-323-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 340 Seiten

No detailed description available for "PyTorch 1.x Reinforcement Learning Cookbook".

Autoren/Hrsg.

Liu, Yuxi (Hayden)

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke

Inhaltsverzeichnis

Table of Contents - Getting started with reinforcement learning and PyTorch
- Markov Decision Process and Dynamic Programming
- Monte Carlo Methods for making numerical estimations
- Temporal Difference and Q-Learning
- Solving Multi Armed Bandit problems
- Scaling up Learning with Function Approximation
- Deep Q-Networks in Action
- Implementing Policy Gradients and Policy Optimization
- Capstone Project: Playing Flappy Bird with DQN

Über Autor(innen)

Liu Yuxi (Hayden):

Yuxi (Hayden) Liu was a Machine Learning Software Engineer at Google. With a wealth of experience from his tenure as a machine learning scientist, he has applied his expertise across data-driven domains and applied his ML expertise in computational advertising, cybersecurity, and information retrieval. He is the author of a series of influential machine learning books and an education enthusiast. His debut book, also the first edition of Python Machine Learning by Example, ranked the #1 bestseller in Amazon and has been translated into many different languages.