| Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems G Arcieri, C Hoelzl, O Schwery, D Straub, KG Papakonstantinou, E Chatzi Reliability Engineering & System Safety 239, 109496, 2023 | 19 | 2023 |
| POMDP inference and robust solution via deep reinforcement learning: An application to railway optimal maintenance G Arcieri, C Hoelzl, O Schwery, D Straub, KG Papakonstantinou, E Chatzi Machine Learning, 1-29, 2024 | 8 | 2024 |
| Fusing Expert Knowledge with Monitoring Data for Condition Assessment of Railway Welds C Hoelzl, G Arcieri, L Ancu, S Banaszak, A Kollros, V Dertimanis, E Chatzi Sensors 23 (5), 2672, 2023 | 6 | 2023 |
| Which Model to Trust: Assessing the Influence of Models on the Performance of Reinforcement Learning Algorithms for Continuous Control Tasks G Arcieri, D Wölfle, E Chatzi arXiv preprint arXiv:2110.13079, 2021 | 4 | 2021 |
| Soft Actor-Critic for railway optimal maintenance planning under partial observability G Arcieri, C Hoelzl, O Schwery, D Straub, KG Papakonstantinou, E Chatzi 14th International Conference on Applications of Statistics and Probability …, 2023 | | 2023 |
| A comparison of value-based and policy-based reinforcement learning for monitoring-informed railway maintenance planning G Arcieri, C Hoelzl, O Schwery, D Straub, KG Papakonstantinou, E Chatzi 14th International Workshop on Structural Health Monitoring (IWSHM 2023 …, 2023 | | 2023 |
| Bayesian Parameter Estimation of Vibrating Systems via Physics-Based Biases from Neural Networks M HAYWOOD-ALEXANDER, A KAMARIOTIS, G ARCIERI, E CHATZI, ... | | |
Eleni ChatziChair of Structural Mechanics & Monitoring, ETH Zurich在 ibk.baug.ethz.ch 的电子邮件经过验证
