Approximate information states for worst-case control and learning in uncertain systems
In this article, we investigate discrete-time decision-making problems in uncertain systems
with partially observed states. We consider a nonstochastic model, where uncontrolled …
with partially observed states. We consider a nonstochastic model, where uncontrolled …
Reward Design for Justifiable Sequential Decision-Making
A Sukovic, G Radanovic - ar** agents with the capacity to justify made decisions using supporting evidence
represents a cornerstone of accountable decision-making. Furthermore, ensuring that …
represents a cornerstone of accountable decision-making. Furthermore, ensuring that …
A Note for CPS Data-driven Approaches Developed in the IDS Lab
AA Malikopoulos - arxiv preprint arxiv:2406.15496, 2024 - arxiv.org
The rapid evolution of Cyber-Physical Systems (CPS) across various domains like mobility
systems, networked control systems, sustainable manufacturing, smart power grids, and the …
systems, networked control systems, sustainable manufacturing, smart power grids, and the …
A Framework for Effective AI Recommendations in Cyber-Physical-Human Systems
Many cyber-physical-human systems (CPHSs) involve a human decision-maker who acts
using recommendations from an artificial intelligence (AI) platform. In such CPHS …
using recommendations from an artificial intelligence (AI) platform. In such CPHS …