58 citations · 92 across the 4 of their papers we have counts for
6 papers
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…
Multi-agent deep reinforcement learning with centralized training and decentralized execution for transportation infrastructure management
M. Saifullah, K. G. Papakonstantinou, A. Bhattacharya +2
Life-cycle management of large-scale transportation systems requires determining a sequence of inspection and maintenance decisions to minimize long-term risks and costs while deal…
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…
Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints
C. P. Andriotis, K. G. Papakonstantinou
Determination of inspection and maintenance policies for minimizing long-term risks and costs in deteriorating engineering environments constitutes a complex optimization problem.…
Value of structural health information in partially observable stochastic environments
C. P. Andriotis, K. G. Papakonstantinou, E. N. Chatzi
Efficient integration of uncertain observations with decision-making optimization is key for prescribing informed intervention actions, able to preserve structural safety of deteri…
Managing engineering systems with large state and action spaces through deep reinforcement learning
C. P. Andriotis, K. G. Papakonstantinou
Decision-making for engineering systems can be efficiently formulated as a Markov Decision Process (MDP) or a Partially Observable MDP (POMDP). Typical MDP and POMDP solution proce…