2508OR01
Approximate Dynamic Programming for Stochastic
and Dynamic Decision Problems
The 4-day course deals with anticipatory methods for dynamic decision making. It will address the following questions:
- What are the components of dynamic decision processes and how do they interact?
- How can dynamic decision processes be modeled mathematically?
- What methods exist in approximate dynamic programming?
- How can they be applied to different types of problems?
In this course, we describe the process of approaching complex stochastic and dynamic decision problems with ADP-methods. We present the required steps from business problem over MDP to the ADP-solutions in detail and give an overview over the most prominent ADP-methods. We especially focus on offline learning methods known as value function approximation. The theoretical content of this course is accompanied by many illustrative examples from the field of logistics and by a serious gaming application.
Date:
25.-28.08.2025
Location:
Technische Universität Braunschweig,
Rebenring 58, Room RR58.4,
38106 Braunschweig
Prof. Dr. Dirk C. Mattfeld
Technical University of Braunschweig
https://www.tu-braunschweig.de/winfo/team/mattfeld
Prof. Dr. Marlin Ulmer
Otto-von-Guericke University Magdeburg
https://www.ms.ovgu.de/Team/Prof_+Dr_+Marlin+Ulmer-p-328.html
Registration:
Click for information on fees, payment and registration,
or email us: prodok@vhbonline.org.
Registration Deadline: July 27, 2025