3 papers
cs.CE2026
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…
cs.MA2026
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…
cs.LG2025
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…