Value of structural health monitoring quantification in partially observable stochastic environments. - C. P. Andriotis; K. G. Papakonstantinou; Eleni N. Chatzi (CoRR, 2019)

Managing engineering systems with large state and action spaces through deep reinforcement learning. - C. P. Andriotis; K. G. Papakonstantinou (Reliab. Eng. Syst. Saf., 2019)

Optimal Inspection and Maintenance Planning for Deteriorating Structures through Dynamic Bayesian Networks and Markov Decision Processes. - Pablo G. Morato; Konstantinos G. Papakonstantinou; Charalampos P. Andriotis; J. S. Nielsen; Philippe Rigo (CoRR, 2020)

Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints. - C. P. Andriotis; K. G. Papakonstantinou (Reliab. Eng. Syst. Saf., 2021)

Assessing the Optimality of Decentralized Inspection and Maintenance Policies for Stochastically Degrading Engineering Systems. - Prateek Bhustali; Charalampos P. Andriotis (BNAIC/BENELEARN, 2023)

Minimum Mass Cast Glass Structures Under Performance and Manufacturability Constraints. - Anna Maria Koniari; Charalampos P. Andriotis; Faidra Oikonomopoulou (CAAD Futures, 2023)

Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning. - Pablo G. Morato; C. P. Andriotis; K. G. Papakonstantinou; Philippe Rigo (Reliab. Eng. Syst. Saf., 2023)

Multi-agent deep reinforcement learning with centralized training and decentralized execution for transportation infrastructure management. - M. Saifullah; K. G. Papakonstantinou; C. P. Andriotis; S. M. Stoffels (CoRR, 2024)

ConBatch-BAL: Batch Bayesian Active Learning under Budget Constraints. - Pablo G. Morato; Charalampos P. Andriotis; Seyran Khademi (CoRR, 2025)