ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2209.01092
  4. Cited By
Inference and dynamic decision-making for deteriorating systems with
  probabilistic dependencies through Bayesian networks and deep reinforcement
  learning

Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning

2 September 2022
P. G. Morato
C. Andriotis
K. Papakonstantinou
P. Rigo
    AI4CE
ArXivPDFHTML

Papers citing "Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning"

9 / 9 papers shown
Title
SEMSO: A Secure and Efficient Multi-Data Source Blockchain Oracle
SEMSO: A Secure and Efficient Multi-Data Source Blockchain Oracle
Youquan Xian
Xueying Zeng
Chunpei Li
Peng Wang
Dongcheng Li
Peng Liu
Xianxian Li
11
0
0
16 Oct 2024
Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization
Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization
Jesse van Remmerden
Maurice Kenter
D. Roijers
Charalampos Andriotis
Yingqian Zhang
Z. Bukhsh
23
0
0
10 Jun 2024
SHM-Traffic: DRL and Transfer learning based UAV Control for Structural
  Health Monitoring of Bridges with Traffic
SHM-Traffic: DRL and Transfer learning based UAV Control for Structural Health Monitoring of Bridges with Traffic
Divija Swetha Gadiraju
Saeed Eftekhar Azam
Deepak Khazanchi
16
2
0
22 Feb 2024
Multi-agent deep reinforcement learning with centralized training and
  decentralized execution for transportation infrastructure management
Multi-agent deep reinforcement learning with centralized training and decentralized execution for transportation infrastructure management
M. Saifullah
K. G. Papakonstantinou
C. Andriotis
S. M. Stoffels
AI4CE
16
2
0
23 Jan 2024
An investigation of belief-free DRL and MCTS for inspection and
  maintenance planning
An investigation of belief-free DRL and MCTS for inspection and maintenance planning
Daniel Koutas
E. Bismut
Daniel Straub
14
2
0
22 Dec 2023
POMDP inference and robust solution via deep reinforcement learning: An
  application to railway optimal maintenance
POMDP inference and robust solution via deep reinforcement learning: An application to railway optimal maintenance
Giacomo Arcieri
C. Hoelzl
Oliver Schwery
D. Štraub
K. Papakonstantinou
Eleni Chatzi
16
13
0
16 Jul 2023
IMP-MARL: a Suite of Environments for Large-scale Infrastructure
  Management Planning via MARL
IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
Pascal Leroy
P. G. Morato
J. Pisane
A. Kolios
D. Ernst
OffRL
35
9
0
20 Jun 2023
Bridging POMDPs and Bayesian decision making for robust maintenance
  planning under model uncertainty: An application to railway systems
Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems
Giacomo Arcieri
C. Hoelzl
Oliver Schwery
D. Štraub
K. Papakonstantinou
Eleni Chatzi
14
21
0
15 Dec 2022
Farm-wide virtual load monitoring for offshore wind structures via
  Bayesian neural networks
Farm-wide virtual load monitoring for offshore wind structures via Bayesian neural networks
Nandar Hlaing
P. G. Morato
F. D. Santos
W. Weijtjens
C. Devriendt
P. Rigo
9
6
0
31 Oct 2022
1