Browsing School of Engineering by Author "Rigo, Philippe"
Now showing items 1-2 of 2
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Active learning for structural reliability analysis with multiple limit state functions through variance-enhanced PC-Kriging surrogate models
Morán, Jonathan A.; Rigo, Philippe; Morato, Pablo G.; ICASP14 (2023)Structural reliability analysis of multi-physics engineering systems can be efficiently implemented through actively trained surrogate models, which often profit from the probabilistic advantageous attributes offered by ... -
Interpretation and analysis of deep reinforcement learning driven inspection and maintenance policies for engineering systems
Hlaing, Nandar; ICASP14; Andriotis, Charalampos P.; Papakonstantinou, Konstantinos G.; Morato, Pablo G.; Rigo, Philippe (2023)In the wake of recent Deep Reinforcement Learning (DRL) breakthroughs in various fields, DRL-based approaches have also been successfully developed for the management of engineering systems, reaching performance that ...