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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

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

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

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

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

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

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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

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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

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Lopez R.H., Bismut E., Straub D.
Stochastic efficient global optimization with high noise variance and mixed design variables
Journal of the Brazilian Society of Mechanical Sciences and Engineering
2023
45
7

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Engel M., Kanjilal O., Papaioannou I., Straub D.
Bayesian updating and marginal likelihood estimation by cross entropy-based importance sampling
Journal of Computational Physics
2023
473
111746