TU Wien Informatics

20 Years
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Luigi Berducci

Univ.Ass. Dott.mag.

Luigi Berducci

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  • Learning Adaptive Safety for Multi-Agent Systems / Berducci, L., Yang, S., Mangharam, R., & Grosu, R. (2024). Learning Adaptive Safety for Multi-Agent Systems. In 2024 IEEE International Conference on Robotics and Automation (ICRA) (pp. 2859–2865). https://doi.org/10.1109/ICRA57147.2024.10611037
  • Enhancing Robot Learning through Learned Human-Attention Feature Maps / Scheuchenstuhl, D., Ulmer, S., Resch, F., Berducci, L., & Grosu, R. (2023, May 29). Enhancing Robot Learning through Learned Human-Attention Feature Maps [Poster Presentation]. ICRA 2023 Workshop on effective Representations, Abstractions, and Priors for Robot Learning (Rap4Robots), London, United Kingdom of Great Britain and Northern Ireland (the). https://doi.org/10.34726/4861
    Download: Full paper version (783 KB)
    Project: NimbleAI (2022–2025)
  • Safe Policy Improvement in Constrained Markov Decision Processes / Berducci, L., & Grosu, R. (2022). Safe Policy Improvement in Constrained Markov Decision Processes. In T. Margaria & B. Steffen (Eds.), Leveraging Applications of Formal Methods, Verification and Validation. Verification Principles (ISoLA 2022), Proceedings, Part I (pp. 360–381). Springer. https://doi.org/10.1007/978-3-031-19849-6_21
    Project: ADEX (2020–2024)
  • Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing / Brunnbauer, A., Berducci, L., Brandstätter, A., Lechner, M., Hasani, R., Rus, D., & Grosu, R. (2022). Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing. In 2022 IEEE International Conference on Robotics and Automation (ICRA) (pp. 7513–7520). https://doi.org/10.1109/ICRA46639.2022.9811650