From Shortest Paths to Reinforcement Learning: A MATLAB-Based Tutorial on Dynamic Programming (EURO Advanced Tutorials on Operational Research) 1st ed. 2021 Edition by Paolo Brandimarte
HARDCOVER
[207 pages]
PUB: January 12, 2021
Description
Dynamic programming (DP) has a relevant history as a powerful and flexible optimization principle, but has a bad reputation as a computationally impractical tool. This book fills a gap between the statement of DP principles and their actual software implementation. Using MATLAB throughout, this tutorial gently gets the reader acquainted with DP and its potential applications, offering the possibility of actual experimentation and hands-on experience. The book assumes basic familiarity with probability and optimization, and is suitable to both practitioners and graduate students in engineering, applied mathematics, management, finance and economics.
| Weight | 1.07 lbs |
|---|---|
| Dimensions | 9.21 × 6.14 × 0.56 in |
| Author | |
| Format | |
| ISBN-10 | |
| Language | |
| Publication Date | |
| Publisher |
Be the first to review “From Shortest Paths to Reinforcement Learning: A MATLAB-Based Tutorial on Dynamic Programming (EURO Advanced Tutorials on Operational Research) 1st ed. 2021 Edition by Paolo Brandimarte”
You must be <a href="https://www.webdelico.com/my-account/">logged in</a> to post a review.
There are no reviews yet.