受强制性开放获取政策约束的文章 - Charalampos P. Andriotis了解详情
无法在其他位置公开访问的文章：2 篇
Synergetic-informed deep reinforcement learning for sustainable management of transportation networks with large action spaces
L Lai, Y Dong, CP Andriotis, A Wang, X Lei
Automation in Construction 160, 105302, 2024
强制性开放获取政策： Research Grants Council, Hong Kong
Personalised building controls based on individual thermal preferences for energy efficiency and thermal comfort
P Martinez-Alcaraz, P de la Barra, CP Andriotis, Y Wang, A Luna-Navarro
International Association of Building Physics, 203-210, 2024
强制性开放获取政策： European Commission
可在其他位置公开访问的文章：20 篇
Managing engineering systems with large state and action spaces through deep reinforcement learning
CP Andriotis, KG Papakonstantinou
Reliability Engineering & System Safety 191, 106483, 2019
强制性开放获取政策： US National Science Foundation
Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints
CP Andriotis, KG Papakonstantinou
Reliability Engineering & System Safety 212, 107551, 2021
强制性开放获取政策： US National Science Foundation
Optimal inspection and maintenance planning for deteriorating structural components through dynamic Bayesian networks and Markov decision processes
PG Morato, KG Papakonstantinou, CP Andriotis, JS Nielsen, P Rigo
Structural Safety 94, 102140, 2022
强制性开放获取政策： US National Science Foundation, National Fund for Scientific Research, Belgium
Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning
PG Morato, CP Andriotis, KG Papakonstantinou, P Rigo
Reliability Engineering & System Safety 235, 109144, 2023
强制性开放获取政策： US National Science Foundation, National Fund for Scientific Research, Belgium
Value of structural health information in partially observable stochastic environments
CP Andriotis, KG Papakonstantinou, EN Chatzi
arXiv preprint arXiv:1912.12534, 2020
强制性开放获取政策： US National Science Foundation, European Commission
Multi-criteria design methods in façade engineering: State-of-the-art and future trends
S Bianchi, C Andriotis, T Klein, M Overend
Building and Environment, 111184, 2024
强制性开放获取政策： European Commission
Quantifying the value of structural monitoring for decision making
KG Papakonstantinou, CP Andriotis, H Gao, EN Chatzi
13th International Conference on Applications of Statistics and Probability …, 2019
强制性开放获取政策： US National Science Foundation
Appraisal and mathematical properties of fragility analysis methods
S Yi, KG Papakonstantinou, CP Andriotis, J Song
Proceedings of the 13th International Conference on Structural Safety and …, 2022
强制性开放获取政策： US National Science Foundation
Nonlinear programming hybrid beam-column element formulation for large-displacement elastic and inelastic analysis
CP Andriotis, KG Papakonstantinou, VK Koumousis
Journal of Engineering Mechanics 144 (10), 04018096, 2018
强制性开放获取政策： US National Science Foundation
Large-scale wildfire mitigation through deep reinforcement learning
A Altamimi, C Lagoa, JG Borges, ME McDill, CP Andriotis, ...
Frontiers in Forests and Global Change 5, 734330, 2022
强制性开放获取政策： Fundação para a Ciência e a Tecnologia, Portugal
Deep reinforcement learning-based life-cycle management of deteriorating transportation systems
M Saifullah, CP Andriotis, KG Papakonstantinou, SM Stoffels
Bridge Safety, Maintenance, Management, Life-Cycle, Resilience and …, 2022
强制性开放获取政策： US National Science Foundation
Life-cycle policies for large engineering systems under complete and partial observability
CP Andriotis, KG Papakonstantinou
13th International Conference on Applications of Statistics and Probability …, 2019
强制性开放获取政策： US National Science Foundation
Managing offshore wind turbines through Markov decision processes and dynamic Bayesian networks
PG Morato, KG Papakonstantinou, CP Andriotis, P Rigo
13th International Conference on Structural Safety & Reliability (ICOSSAR), 2022
强制性开放获取政策： US National Science Foundation, National Fund for Scientific Research, Belgium
Geometrically exact hybrid beam element based on nonlinear programming
CM Lyritsakis, CP Andriotis, KG Papakonstantinou
International Journal for Numerical Methods in Engineering 122 (13), 3273-3299, 2021
强制性开放获取政策： US National Science Foundation
The role of value of information in multi-agent deep reinforcement learning for optimal decision-making under uncertainty
M Saifullah, CP Andriotis, KG Papakonstantinou
14th International Conference on Applications of Statistics and Probability …, 2023
强制性开放获取政策： US National Science Foundation
Optimizing policies for deteriorating systems considering ordered action structuring and value of information
CP Andriotis, KG Papakonstantinou
13th International Conference on Structural Safety & Reliability (ICOSSAR),, 2022
强制性开放获取政策： US National Science Foundation
Strategic prioritization and planning of multi-asset transportation infrastructure maintenance, rehabilitation, and improvements: Phase 1–Prioritization through optimization
EM Hooks, S McNeil, D Lattanzi, K Papakonstantinou, S Stoffels, W Zhou, ...
Center for Integrated Asset Management for Multimodal Transportation …, 2021
强制性开放获取政策： US Department of Transportation
Nonlinear programming approach to a shear-deformable hybrid beam element for large displacement analysis
CM Lyritsakis, CP Andriotis, KG Papakonstantinou
7th International Conference on Computational Methods in Structural Dynamics …, 2019
强制性开放获取政策： US National Science Foundation
出版信息和资助信息由计算机程序自动确定