From Shortest Paths to Reinforcement Learning: A Matlab-Based Tutorial on Dynamic Programming

by Paolo Brandimarte

Book Overview

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.

• Format: Hardcover
• Language: English
• ISBN: 3030618668
• ISBN13: 9783030618667
• Release Date: January 2021
• Publisher: Springer
• Length: 207 Pages
• Weight: 1.07 lbs.
• Dimensions: 0.6" x 6.1" x 9.2"