VHB ProDok: Approximate Dynamic Programming for Stochastic and Dynamic Decision Problems (23-26 March 2020)

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 to approach complex stochastic and dynamic decision problems with advanced 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 approximations. The theoretical content of this course is accompanied by many illustrative examples from the field of logistics and by a serious gaming application.

Date: March 23 – 26, 2020

Location: Technical University of Braunschweig

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

Jun.-Prof. Dr. Marlin Ulmer
Technical University of Braunschweig

Registration: Click for information on fees, payment and registration, or email us: prodok@vhbonline.org. Registration Deadline: 23. February 2020

Further information

Content retrieved from: https://vhbonline.org/veranstaltungen/prodok/kurse-2020/2003or01.