7 citations · 9 across the 4 of their papers we have counts for
5 papers
Graph-Based Inference and Topology-Aware Multi-Agent Reinforcement Learning for Large-Scale Railway Network Management
Giacomo Arcieri, Gregory Duthé, Christophe Muller +3
Modern infrastructure asset management constitutes a complex sequential decision-making problem, characterized by long planning horizons and system-level interactions, such as spat…
Deep Belief Markov Models for POMDP Inference
Giacomo Arcieri, Konstantinos G. Papakonstantinou, Daniel Straub +1
This work introduces a novel deep learning-based architecture, termed the Deep Belief Markov Model (DBMM), which provides efficient, model-formulation agnostic inference in Partial…
Response Estimation and System Identification of Dynamical Systems via Physics-Informed Neural Networks
Marcus Haywood-Alexander, Giacomo Arcieri, Antonios Kamariotis +1
The accurate modelling of structural dynamics is crucial across numerous engineering applications, such as Structural Health Monitoring (SHM), seismic analysis, and vibration contr…
Monitoring-Supported Value Generation for Managing Structures and Infrastructure Systems
Antonios Kamariotis, Eleni Chatzi, Daniel Straub +9
To maximize its value, the design, development and implementation of Structural Health Monitoring (SHM) should focus on its role in facilitating decision support. In this position…
Bayesian decision-theoretic model selection for monitored systems
Antonios Kamariotis, Eleni Chatzi
Engineers are often faced with the decision to select the most appropriate model for simulating the behavior of engineered systems, among a candidate set of models. Experimental mo…