Papers

Learning Adaptive Safety for Multi-Agent Systems Luigi Berducci, Shuo Yang, Rahul Mangharam, Radu Grosu. IEEE International Conference on Robotics and Automation (ICRA), 2024. :page_facing_up: :movie_camera:

Safe Learning under Assumptions in Human-Robot Systems Luigi Berducci, Shuo Yang, Mirco Giacobbe, Rahul Mangharam, Radu Grosu. IEEE International Conference on Robotics and Automation (ICRA), 2024, Workshop on Design, Shared Control, and Robot Learning for Physical Human-Robot Interaction (pHRI).

Enhancing Robot Learning through Learned Human-Attention Feature Maps Daniel Scheuchenstuhl*, Stefan Ulmer*, Felix Resch*, Luigi Berducci, Radu Grosu. IEEE International Conference on Robotics and Automation (ICRA), 2023, Workshop on effective Representations, Abstractions, and Priors for Robot Learning (RAP4Robots). :page_facing_up:

Safe Policy Improvement in Constrained Markov Decision Processes Luigi Berducci, Radu Grosu. International Symposium On Leveraging Applications of Formal Methods, Verification and Validation (ISoLA), 2022. :page_facing_up:

Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing Axel Brunnbauer*, Luigi Berducci*, Andreas Brandstätter*, Mathias Lechner, Ramin Hasani, Daniela Rus, Radu Grosu. IEEE International Conference on Robotics and Automation (ICRA), 2022. :page_facing_up: :movie_camera:

Preprints

Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving Axel Brunnbauer, Luigi Berducci, Peter Priller, Dejan Nickovic, Radu Grosu. Preprint, 2024. :page_facing_up:

Hierarchical Potential-based Reward Shaping from Task Specifications Edgar A. Aguilar, Luigi Berducci, Axel Brunnbauer, Radu Grosu, Dejan Ničković. Preprint, 2021. :link: :page_facing_up: :movie_camera:

Model-based versus Model-free Deep Reinforcement Learning for Autonomous Racing Cars Axel Brunnbauer, Luigi Berducci, Andreas Brandstätter, Mathias Lechner, Ramin Hasani, Daniela Rus, Radu Grosu. Preprint, 2021. :page_facing_up:

Theses

Failure Probability Estimation for Autonomous Systems through Deep Reinforcement Learning and Importance Splitting Supervisors: Enrico Tronci, Radu Grosu. M.Sc. Thesis, Sapienza University of Rome, 2020.

Performance Evaluation of Apache Spark with Scala, Java and Python Supervisor: Irene Finocchi. B.Sc. Thesis, Sapienza University of Rome, 2017.

Academic Service

I serve/ed as reviewer for the following conferences and journals:

  • IEEE International Conference on Robotics and Automation (ICRA)
  • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • International Conference on Learning Representations (ICLR)
  • Conference on Neural Information Processing Systems (NeurIPS)
  • International Conference on Machine Learning (ICML)
  • IROS 2023 Workshop on Multi-agent Dynamic Games (MAD-Games)
  • Journal of Field Robotics
  • and others…