Konstantinos G. Papakonstantinou

13 papers Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep belief Markov models for POMDP inference. Neural Networks Giacomo Arcieri, Konstantinos G. Papakonstantinou, Daniel Straub, Eleni N. Chatzi
2026	J	`jnl`	The price of decentralization in managing engineering systems through multi-agent reinforcement learning. CoRR Prateek Bhustali, Pablo G. Morato, Konstantinos G. Papakonstantinou, Charalampos P. Andriotis
2025	J	`jnl`	A direct importance sampling-based framework for rare event uncertainty quantification in non-Gaussian spaces. Reliab. Eng. Syst. Saf. Elsayed Eshra, Konstantinos G. Papakonstantinou, Hamed Nikbakht
2025	J	`jnl`	Convex Is Back: Solving Belief MDPs With Convexity-Informed Deep Reinforcement Learning. CoRR Daniel Koutas, Daniel Hettegger, Konstantinos G. Papakonstantinou, Daniel Straub
2025	J	`jnl`	Deep Belief Markov Models for POMDP Inference. CoRR Giacomo Arcieri, Konstantinos G. Papakonstantinou, Daniel Straub, Eleni N. Chatzi
2024	J	`jnl`	Monitoring-Supported Value Generation for Managing Structures and Infrastructure Systems. CoRR Antonios Kamariotis, Eleni N. Chatzi, Daniel Straub, Nikolaos Dervilis, Kai Goebel, Aidan J. Hughes, Geert Lombaert, Costas Papadimitriou, Konstantinos G. Papakonstantinou, Matteo Pozzi, Michael Todd, Keith Worden
2024	J	`jnl`	POMDP inference and robust solution via deep reinforcement learning: an application to railway optimal maintenance. Mach. Learn. Giacomo Arcieri, Cyprien Hoelzl, Oliver Schwery, Daniel Straub, Konstantinos G. Papakonstantinou, Eleni N. Chatzi
2024	J	`jnl`	Quadratic Point Estimate Method for Probabilistic Moments Computation. CoRR Minhyeok Ko, Konstantinos G. Papakonstantinou
2023	J	`jnl`	Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems. Reliab. Eng. Syst. Saf. Giacomo Arcieri, Cyprien Hoelzl, Oliver Schwery, Daniel Straub, Konstantinos G. Papakonstantinou, Eleni N. Chatzi
2023	J	`jnl`	POMDP inference and robust solution via deep reinforcement learning: An application to railway optimal maintenance. CoRR Giacomo Arcieri, Cyprien Hoelzl, Oliver Schwery, Daniel Straub, Konstantinos G. Papakonstantinou, Eleni N. Chatzi
2022	J	`jnl`	Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems. CoRR Giacomo Arcieri, Cyprien Hoelzl, Oliver Schwery, Daniel Straub, Konstantinos G. Papakonstantinou, Eleni N. Chatzi
2022	J	`jnl`	Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning. CoRR Pablo G. Morato, Charalampos P. Andriotis, Konstantinos G. Papakonstantinou, Philippe Rigo
2020	J	`jnl`	Optimal Inspection and Maintenance Planning for Deteriorating Structures through Dynamic Bayesian Networks and Markov Decision Processes. CoRR Pablo G. Morato, Konstantinos G. Papakonstantinou, Charalampos P. Andriotis, J. S. Nielsen, Philippe Rigo