Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:From Shortest Paths To Reinforcement Learning: A Matlab-Based Tutorial On Dynamic ProgrammingISBN13:9783030618698ISBN10:3030618692Author:Brandimarte, Paolo (Author)Description:The Dynamic Programming Principle - Implementing Dynamic Programming - Modeling For Dynamic Programming - Numerical Dynamic Programming For Discrete States - Approximate Dynamic Programming And Reinforcement Learning For Discrete States - Numerical Dynamic Programming For Continuous States - Approximate Dynamic Programming And Reinforcement Learning For Continuous States Binding:Paperback, PaperbackPublisher:SpringerPublication Date:2022-01-26Weight:0.69 lbsDimensions:0.46'' H x 9.21'' L x 6.14'' WNumber of Pages:220Language:English
Price: 73.51 USD
Location: USA
End Time: 2024-11-11T19:54:07.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
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
Return policy details:
Book Title: From Shortest Paths to Reinforcement Learning : a Matlab-Based Tutorial ON Dynamic Programming
Item Length: 9.3in
Item Width: 6.1in
Author: Paolo Brandimarte
Format: Trade Paperback
Language: English
Topic: Number Systems, Operations Research, General, Economics / Theory
Publisher: Springer International Publishing A&G
Publication Year: 2022
Genre: Technology & Engineering, Business & Economics, Mathematics
Item Weight: 12.1 Oz
Number of Pages: Xi, 207 Pages
