Hettegger D., Buliga C., Bismut E., Straub D., Knoll A.
Investigation of Inspection and Maintenance Optimization with Deep Reinforcement Learning in Absence of Belief States
Proc. 14th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP14, Dublin, Ireland.
2023

Koutas, Daniel;Bismut, Elizabeth;Straub, Daniel
An investigation of belief-free DRL and MCTS for inspection and maintenance planning
Journal of Infrastructure Preservation and Resilience
2024
5
1

Koutas, Daniel;Hettegger, Daniel;Papakonstantinou, Kostas G.;Straub, Daniel
Convex Is Back: Solving Belief MDPs With Convexity-Informed Deep Reinforcement Learning
arXiv preprint
2025

Rosero-Velásquez, Hugo
Graph-based model for reliability analysis of infrastructure networks
05.03.2024

Teichgräber M., Fusseder M., Bletzinger K., Straub D.
Non-linear structural models and the partial safety factor concept
Structural Safety
2023
103
102341

Geyer S., Papaioannou I., Straub D.
Spatial modeling of concrete strength based on data
Structural Safety
2023
103
102345

Chan J.P., Papaioannou I., Straub D.
Bayesian improved cross entropy method for network reliability assessment
Structural Safety
2023
103
102344

Kanjilal O., Papaioannou I., Straub D.
Bayesian updating of reliability by cross-entropy based importance sampling
Structural Safety
2023
102
102325

Schneider F., Papaioannou I., Müller G.
Sparse Bayesian learning for complex-valued rational approximations
International Journal for Numerical Methods in Engineering
2023
124
1721-1747

Ehre M., Flock R., Fußender M., Papaioannou I., Straub D.
Certified dimension reduction for Bayesian updating with the cross-entropy method
SIAM/ASA Journal on Uncertainty Quantification
2023
11
1
358-388