Forschungstreffen 26303
Challenges in Robust Decision-Making Under Uncertainty
( 22. Jul – 24. Jul, 2026 )
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Organisatoren
- Milan Ceska (Brno University of Technology, CZ)
- Clemens Dubslaff (TU Eindhoven, NL)
- Nils Jansen (Ruhr-Universität Bochum, DE)
- Maximilian Weininger (Ruhr-Universität Bochum, DE)
Kontakt
- Heike Clemens (für administrative Fragen)
This research meeting focuses on a specific branch of Artificial Intelligence, namely decision-making under uncertainty. Specifically, potentially unknown or unpredictable environments, contextual changes at runtime, or incompleteness of data are commonly referred to as uncertainty. Markov Decision Processes (MDPs) are the standard formal model to capture such sequential decision-making problems for systems operating in uncertain environments. However, many real-world problems such as sensor limitations, neural network perception, incomplete data, or causal effects are understudied for these models. In this meeting, we will identify challenges that bring research on decision-making under uncertainty closer to real-world impact.
Creative Commons BY 4.0
Milan Ceska, Clemens Dubslaff, Nils Jansen, and Maximilian Weininger
