Description: Further DetailsTitle: Deep Reinforcement LearningCondition: NewEAN: 9789811906374ISBN: 9789811906374Edition: 1st ed. 2022Publisher: Springer Verlag, SingaporeFormat: PaperbackRelease Date: 06/12/2022Description: Deep reinforcement learning has attracted considerable attention recently. Impressive results have been achieved in such diverse fields as autonomous driving, game playing, molecular recombination, and robotics. In all these fields, computer programs have taught themselves to understand problems that were previously considered to be very difficult. In the game of Go, the program AlphaGo has even learned to outmatch three of the world’s leading players.Deep reinforcement learning takes its inspiration from the fields of biology and psychology. Biology has inspired the creation of artificial neural networks and deep learning, while psychology studies how animals and humans learn, and how subjects’ desired behavior can be reinforced with positive and negative stimuli. When we see how reinforcement learning teaches a simulated robot to walk, we are reminded of how children learn, through playful exploration. Techniques that are inspired by biology and psychology work amazingly well in computers: animal behavior and the structure of the brain as new blueprints for science and engineering. In fact, computers truly seem to possess aspects of human behavior; as such, this field goes to the heart of the dream of artificial intelligence. These research advances have not gone unnoticed by educators. Many universities have begun offering courses on the subject of deep reinforcement learning. The aim of this book is to provide an overview of the field, at the proper level of detail for a graduate course in artificial intelligence. It covers the complete field, from the basic algorithms of Deep Q-learning, to advanced topics such as multi-agent reinforcement learning and meta learning.Language: EnglishCountry/Region of Manufacture: SGItem Height: 235mmItem Length: 155mmAuthor: Aske PlaatGenre: Computing & InternetRelease Year: 2022 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Deep Reinforcement Learning
Title: Deep Reinforcement Learning
EAN: 9789811906374
ISBN: 9789811906374
Edition: 1st ed. 2022
Release Date: 06/12/2022
Release Year: 2022
Country/Region of Manufacture: SG
Item Height: 235mm
Genre: Computing & Internet
Number of Pages: Xv, 406 Pages
Language: English
Publication Name: Deep Reinforcement Learning
Publisher: Springer
Publication Year: 2022
Subject: Probability & Statistics / General, Intelligence (Ai) & Semantics, General
Type: Textbook
Item Weight: 22.8 Oz
Item Length: 9.3 in
Author: Aske Plaat
Subject Area: Mathematics, Computers, Science
Item Width: 6.1 in
Format: Trade Paperback