Which Model To Trust: Assessing the Influence of Models on the Performance of Reinforcement Learning Algorithms for Continuous Control Tasks. - Giacomo Arcieri; David Wölfle; Eleni N. Chatzi (CoRR, 2021)

Fusing Expert Knowledge with Monitoring Data for Condition Assessment of Railway Welds. - Cyprien Hoelzl; Giacomo Arcieri; Lucian Ancu; Stanislaw Banaszak; Aurelia Kollros; Vasilis K. Dertimanis; Eleni N. Chatzi (Sensors, 2023)

Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems. - Giacomo Arcieri; Cyprien Hoelzl; Oliver Schwery; Daniel Straub; Konstantinos G. Papakonstantinou; Eleni N. Chatzi (Reliab. Eng. Syst. Saf., 2023)

POMDP inference and robust solution via deep reinforcement learning: an application to railway optimal maintenance. - Giacomo Arcieri; Cyprien Hoelzl; Oliver Schwery; Daniel Straub; Konstantinos G. Papakonstantinou; Eleni N. Chatzi (Mach. Learn., 2024)

Deep Belief Markov Models for POMDP Inference. - Giacomo Arcieri; Konstantinos G. Papakonstantinou; Daniel Straub; Eleni N. Chatzi (CoRR, 2025)

Response estimation and system identification of dynamical systems via physics-informed neural networks. - Marcus Haywood-Alexander; Giacomo Arcieri; Antonios Kamariotis; Eleni N. Chatzi (Adv. Model. Simul. Eng. Sci., 2025)