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C. P. Andriotis
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 8
Top Topics
Reinforcement Learning
Partially Observable Markov Decision Process
State And Action Spaces
Bayesian Networks
Top Venues
CoRR
Reliab. Eng. Syst. Saf.
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Publications
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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
(2024)
Pablo G. Morato
,
C. P. Andriotis
,
K. G. Papakonstantinou
,
Philippe Rigo
Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning.
Reliab. Eng. Syst. Saf.
235 (2023)
C. P. Andriotis
,
K. G. Papakonstantinou
Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints.
Reliab. Eng. Syst. Saf.
212 (2021)
Pablo G. Morato
,
K. G. Papakonstantinou
,
C. P. Andriotis
,
J. S. Nielsen
,
P. Rigo
Optimal Inspection and Maintenance Planning for Deteriorating Structures through Dynamic Bayesian Networks and Markov Decision Processes.
CoRR
(2020)
C. P. Andriotis
,
K. G. Papakonstantinou
Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints.
CoRR
(2020)
C. P. Andriotis
,
K. G. Papakonstantinou
Managing engineering systems with large state and action spaces through deep reinforcement learning.
Reliab. Eng. Syst. Saf.
191 (2019)
C. P. Andriotis
,
K. G. Papakonstantinou
,
E. N. Chatzi
Value of structural health monitoring quantification in partially observable stochastic environments.
CoRR
(2019)
C. P. Andriotis
,
K. G. Papakonstantinou
Managing engineering systems with large state and action spaces through deep reinforcement learning.
CoRR
(2018)