TERMINVERSCHIEBUNG !

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2003OR01

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 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

Lecturers:

Prof. Dr. Dirk C. Mattfeld
Technical University of Braunschweig
https://www.tu-braunschweig.de/winfo/team/mattfeld

Jun.-Prof. Dr. Marlin Ulmer
Technical University of Braunschweig
https://www.tu-braunschweig.de/winfo/team/ulmer

Registration:

 

Click for information on fees, payment and registration,

or email us: prodok@vhbonline.org.

 

Registration Deadline: 23. February 2020