Pablo G. Morato
Architecture and Built Environment, TU Delft
Julianalaan 134
2628 BL Delft, the Netherlands
I am a Postdoctoral Researcher in reinforcement learning and computer vision at AiDAPT, TU Delft.
My research focuses on the investigation and advancement of efficient methods for optimal sequential decision-making under uncertainty and imperfect information. My current research projects involve the development of algorithmic platforms relying on Markov Decision Processes, Bayesian Networks, and Deep Reinforcement Learning for managing large-scale engineering systems.
news
Dec 2023 | Presenting IMP-MARL at NeurIPS2023. |
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Sep 2023 | I joined AiDAPT lab at TU Delft as a Postdoctoral Researcher. |
Jun 2023 | IMP-MARL released. |
selected publications
2023
- Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learningReliability Engineering & System Safety, 2023
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARLarXiv preprint arXiv:2306.11551, 2023
- Interpretation and analysis of deep reinforcement learning driven inspection and maintenance policies for engineering systemsIn 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), 2023
2022
- Optimal inspection and maintenance planning for deteriorating structural components through dynamic Bayesian networks and Markov decision processesStructural Safety, 2022
- Farm-wide virtual load monitoring for offshore wind structures via Bayesian neural networksStructural Health Monitoring, 2022
- Managing offshore wind turbines through Markov decision processes and dynamic Bayesian networksIn 13th International Conference on Structural Safety & Reliability (ICOSSAR), Shanghai, China, 2022