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07/16/2023
POMDP inference and robust solution via deep reinforcement learning: An application to railway optimal maintenance
Partially Observable Markov Decision Processes (POMDPs) can model comple...
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12/15/2022
Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems
Structural Health Monitoring (SHM) describes a process for inferring qua...
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09/02/2022
Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning
In the context of modern environmental and societal concerns, there is a...
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07/01/2020
Hamiltonian MCMC methods for estimating rare events probabilities in high-dimensional problems
Accurate and efficient estimation of rare events probabilities is of sig...
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09/09/2019
