Pablo G. Morato

TU Delft's AI-Lab for Design, Analysis, and Optimization

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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.
Sep 2023 I joined AiDAPT lab at TU Delft as a Postdoctoral Researcher.
Jun 2023 IMP-MARL released.

selected publications

2023

  1. zayas_frame.png
    Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning
    Pablo G Morato, Charalampos P Andriotis, Konstantinos G Papakonstantinou, and 1 more author
    Reliability Engineering & System Safety, 2023
  2. imp_marl.png
    IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
    Pascal Leroy, Pablo G Morato, Jonathan Pisane, and 2 more authors
    arXiv preprint arXiv:2306.11551, 2023
  3. interpret.png
    Interpretation and analysis of deep reinforcement learning driven inspection and maintenance policies for engineering systems
    Pablo G Morato, Konstantinos G Papakonstantinou, Charalampos P Andriotis, and 2 more authors
    In 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), 2023

2022

  1. Optimal inspection and maintenance planning for deteriorating structural components through dynamic Bayesian networks and Markov decision processes
    Pablo G Morato, Konstantinos G Papakonstantinou, Charalampos P Andriotis, and 2 more authors
    Structural Safety, 2022
  2. Farm-wide virtual load monitoring for offshore wind structures via Bayesian neural networks
    Nandar Hlaing, Pablo G Morato, Francisco de Nolasco Santos, and 3 more authors
    Structural Health Monitoring, 2022
  3. Managing offshore wind turbines through Markov decision processes and dynamic Bayesian networks
    PG Morato, KG Papakonstantinou, C Andriotis, and 1 more author
    In 13th International Conference on Structural Safety & Reliability (ICOSSAR), Shanghai, China, 2022