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:

  1. What are the components of dynamic decision processes and how do they interact?
  2. How can dynamic decision processes be modeled mathematically?
  3. What methods exist in approximate dynamic programming?
  4. 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.





Technical University of Braunschweig
Haus der Wissenschaft Braunschweig, Pockelsstraße 11, 5th floor, 38106 Braunschweig



Prof. Dr. Dirk C. Mattfeld
Technical University of Braunschweig

Prof. Dr. Marlin Ulmer
Otto-von-Guericke University Magdeburg



Click for information on fees, payment and registration,

or email us: prodok@vhbonline.org.


Registration Deadline: March 5, 2023