Sie sind hier: Veranstaltungen / ProDok / Approximate Dynamic Programming for Stochastic and Dynamic Decision Problems
Freitag, 20. September 2019
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VHB Gruppe

  

Kernaktivitäten

 

82. Jahrestagung des VHB

17. bis 20. März 2020

in Frankfurt am Main

 

 

 

Wissenschaftliche Kommissionen

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:

To get an overview of the amount of the participation fee and to register for the course, please use this link: https://vhbonline.org/veranstaltungen/prodok/anmeldung/ (https://vhbonline.org/en/events/the-phd-program/registration-participation-payment/)

 

You can also send an email to prodok(at)vhbonline(dot)org.

 

Registration Deadline: 23. February 2020

 
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