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K. G. Papakonstantinou
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2020 – today
- 2024
- [j8]Giacomo Arcieri
, Cyprien Hoelzl, Oliver Schwery, Daniel Straub, Konstantinos G. Papakonstantinou, Eleni N. Chatzi:
POMDP inference and robust solution via deep reinforcement learning: an application to railway optimal maintenance. Mach. Learn. 113(10): 7967-7995 (2024) - [i10]M. Saifullah, K. G. Papakonstantinou, C. P. Andriotis, S. M. Stoffels:
Multi-agent deep reinforcement learning with centralized training and decentralized execution for transportation infrastructure management. CoRR abs/2401.12455 (2024) - [i9]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
Monitoring-Supported Value Generation for Managing Structures and Infrastructure Systems. CoRR abs/2402.00021 (2024) - [i8]Minhyeok Ko, Konstantinos G. Papakonstantinou:
Quadratic Point Estimate Method for Probabilistic Moments Computation. CoRR abs/2403.13203 (2024) - 2023
- [j7]Pablo G. Morato
Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning. Reliab. Eng. Syst. Saf. 235: 109144 (2023) - [j6]Giacomo Arcieri
Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems. Reliab. Eng. Syst. Saf. 239: 109496 (2023) - [i7]Giacomo Arcieri, Cyprien Hoelzl, Oliver Schwery, Daniel Straub, Konstantinos G. Papakonstantinou, Eleni N. Chatzi:
POMDP inference and robust solution via deep reinforcement learning: An application to railway optimal maintenance. CoRR abs/2307.08082 (2023) - 2022
- [i6]Pablo G. Morato, Charalampos P. Andriotis, Konstantinos G. Papakonstantinou, Philippe Rigo:
Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning. CoRR abs/2209.01092 (2022) - [i5]Giacomo Arcieri, Cyprien Hoelzl, Oliver Schwery, Daniel Straub, Konstantinos G. Papakonstantinou, Eleni N. Chatzi:
Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems. CoRR abs/2212.07933 (2022) - 2021
- [j5]C. P. Andriotis
Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints. Reliab. Eng. Syst. Saf. 212: 107551 (2021) - 2020
- [i4]C. P. Andriotis, K. G. Papakonstantinou:
Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints. CoRR abs/2007.01380 (2020) - [i3]Pablo G. Morato, Konstantinos G. Papakonstantinou, Charalampos P. Andriotis, J. S. Nielsen, Philippe Rigo:
Optimal Inspection and Maintenance Planning for Deteriorating Structures through Dynamic Bayesian Networks and Markov Decision Processes. CoRR abs/2009.04547 (2020)
2010 – 2019
- 2019
- [j4]C. P. Andriotis
Managing engineering systems with large state and action spaces through deep reinforcement learning. Reliab. Eng. Syst. Saf. 191 (2019) - [i2]C. P. Andriotis, K. G. Papakonstantinou, Eleni N. Chatzi:
Value of structural health monitoring quantification in partially observable stochastic environments. CoRR abs/1912.12534 (2019) - 2018
- [j3]K. G. Papakonstantinou
A Nonlinear Integer Programming Approach for the Minimization of Boolean Expressions. J. Circuits Syst. Comput. 27(10): 1850163:1-1850163:29 (2018) - [i1]C. P. Andriotis, K. G. Papakonstantinou:
Managing engineering systems with large state and action spaces through deep reinforcement learning. CoRR abs/1811.02052 (2018) - 2014
- [j2]K. G. Papakonstantinou, M. Shinozuka:
Planning structural inspection and maintenance policies via dynamic programming and Markov processes. Part I: Theory. Reliab. Eng. Syst. Saf. 130: 202-213 (2014) - [j1]K. G. Papakonstantinou, M. Shinozuka:
Planning structural inspection and maintenance policies via dynamic programming and Markov processes. Part II: POMDP implementation. Reliab. Eng. Syst. Saf. 130: 214-224 (2014)
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