58 citations · 81 across the 6 of their papers we have counts for
7 papers
The price of decentralization in managing engineering systems through multi-agent reinforcement learning
Prateek Bhustali, Pablo G. Morato, Konstantinos G. Papakonstantinou +1
Inspection and maintenance (I&M) planning involves sequential decision making under uncertainties and incomplete information, and can be modeled as a partially observable Markov de…
Balancing the exploration-exploitation trade-off in active learning for surrogate model-based reliability analysis via multi-objective optimization
Jonathan A. Moran, Pablo G. Morato
Reliability assessment of engineering systems often requires repeated evaluations of limit-state functions that may rely on computationally expensive high-fidelity models, renderin…
ConBatch-BAL: Batch Bayesian Active Learning under Budget Constraints
Pablo G. Morato, Charalampos P. Andriotis, Seyran Khademi
Varying annotation costs among data points and budget constraints can hinder the adoption of active learning strategies in real-world applications. This work introduces two Bayesia…
IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
Pascal Leroy, Pablo G. Morato, Jonathan Pisane +2
We introduce IMP-MARL, an open-source suite of multi-agent reinforcement learning (MARL) environments for large-scale Infrastructure Management Planning (IMP), offering a platform…
Active learning for structural reliability analysis with multiple limit state functions through variance-enhanced PC-Kriging surrogate models
J. Moran A., P. G. Morato, P. Rigo
Existing active strategies for training surrogate models yield accurate structural reliability estimates by aiming at design space regions in the vicinity of a specified limit stat…
Farm-wide virtual load monitoring for offshore wind structures via Bayesian neural networks
N. Hlaing, Pablo G. Morato, F. d. N. Santos +3
Offshore wind structures are subject to deterioration mechanisms throughout their operational lifetime. Even if the deterioration evolution of structural elements can be estimated…
Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning
Pablo G. Morato, Charalampos P. Andriotis, Konstantinos G. Papakonstantinou +1
In the context of modern environmental and societal concerns, there is an increasing demand for methods able to identify management strategies for civil engineering systems, minimi…