Description: Reinforcement Learning From Scratch by Uwe Lorenz Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description The result is an accessible introduction into machine learning that concentrates on reinforcement learning. Publisher Description In ancient games such as chess or go, the most brilliant players can improve by studying the strategies produced by a machine. Robotic systems practice their own movements. In arcade games, agents capable of learning reach superhuman levels within a few hours. How do these spectacular reinforcement learning algorithms work? With easy-to-understand explanations and clear examples in Java and Greenfoot, you can acquire the principles of reinforcement learning and apply them in your own intelligent agents. Greenfoot (M.Kölling, Kings College London) and the hamster model (D. Bohles, University of Oldenburg) are simple but also powerful didactic tools that were developed to convey basic programming concepts. The result is an accessible introduction into machine learning that concentrates on reinforcement learning. Taking the reader through the steps of developing intelligent agents, from the very basics to advanced aspects, touching on a variety of machine learning algorithms along the way, one is allowed to play along, experiment, and add their own ideas and experiments. Author Biography After studying computer science and philosophy with a focus on artificial intelligence and machine learning at the Humboldt University Berlin and for a few years as a project engineer, Uwe Lorenz currently works as a high school teacher for computer science and mathematics and at the Free University of Berlin in the Computing Education Research Group, - since his first contact with computers at the end of the 1980s he couldnt let go of the topic of artificial intelligence. Details ISBN 3031090292 ISBN-13 9783031090295 Title Reinforcement Learning From Scratch Author Uwe Lorenz Format Hardcover Year 2022 Pages 184 Edition 1st Publisher Springer International Publishing AG GE_Item_ID:141669092; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 103.95 USD
Location: Fairfield, Ohio
End Time: 2024-11-29T04:11:30.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9783031090295
Book Title: Reinforcement Learning From Scratch
Number of Pages: Xiv, 184 Pages
Language: English
Publication Name: Reinforcement Learning from Scratch : Understanding Current Approaches - with Examples in Java and Greenfoot
Publisher: Springer International Publishing A&G
Subject: Programming Languages / Java, Intelligence (Ai) & Semantics, Probability & Statistics / General, General
Publication Year: 2022
Item Weight: 16.6 Oz
Type: Textbook
Author: Uwe Lorenz
Item Length: 9.3 in
Subject Area: Mathematics, Computers, Science
Item Width: 6.1 in
Format: Hardcover