61 citations · 74 across the 3 of their papers we have counts for
3 papers
cs.AI2023
An investigation of belief-free DRL and MCTS for inspection and maintenance planning
Daniel Koutas, Elizabeth Bismut, Daniel Straub
We propose a novel Deep Reinforcement Learning (DRL) architecture for sequential decision processes under uncertainty, as encountered in inspection and maintenance (I&M) planning.…
stat.AP2021★ 13 cited
A unifying review of NDE models towards optimal decision support
Elizabeth Bismut, Daniel Straub
Non-destructive evaluation (NDE) inspections are an integral part of asset integrity management. The relationship between the condition of interest and the quantity measured by NDE…
eess.SY2021★ 61 cited
Optimal adaptive inspection and maintenance planning for deteriorating structural systems
Elizabeth Bismut, Daniel Straub
Optimizing inspection and maintenance (I&M) plans for a large deteriorating structure is a computationally challenging task, in particular if one considers interdependences among i…