Introduction to Dynamic Decision Making
This course is an Introduction to Dynamic Decision Making (INDY). It will teach you how state-of-the-art digital businesses such as UBER, Amazon, and Lieferando make real-time decisions under uncertainty in their daily logistics operations.
In this course, we provide you with:
- an overview of the state-of-the-art stochastic and dynamic problems in logistics and transportation,
- a characterization of stochastic problems and dynamic problems with relevant case studies,
- fundamentals of modeling stochastic dynamic problems as a Markov decision process,
- basic and advanced solution approaches for stochastic dynamic problems from the class of approximate dynamic programming and reinforcement learning.
More information about the course can soon be found in the E-Learning.