Model-based versus Model-free Deep Reinforcement Learning for Autonomous Racing Cars. - Axel Brunnbauer; Luigi Berducci; Andreas Brandstätter; Mathias Lechner; Ramin M. Hasani; Daniela Rus; Radu Grosu (CoRR, 2021)

From STL Rulebooks to Rewards. - Edgar A. Aguilar; Luigi Berducci; Axel Brunnbauer; Radu Grosu; Dejan Nickovic (CoRR, 2021)

Logs of: Model-based versus Model-free Deep Reinforcement Learning for Autonomous Racing Cars. - Axel Brunnbauer; Luigi Berducci; Andreas Brandstätter; Mathias Lechner; Ramin M. Hasani; Daniela Rus; Radu Grosu (Zenodo, 2021)

Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing. - Axel Brunnbauer; Luigi Berducci; Andreas Brandstätter; Mathias Lechner; Ramin M. Hasani; Daniela Rus; Radu Grosu (ICRA, 2022)

Safe Policy Improvement in Constrained Markov Decision Processes. - Luigi Berducci; Radu Grosu (ISoLA (1), 2022)

Enhancing Robot Learning through Learned Human-Attention Feature Maps. - Daniel Scheuchenstuhl; Stefan Ulmer; Felix Resch; Luigi Berducci; Radu Grosu (CoRR, 2023)

Learning Adaptive Safety for Multi-Agent Systems. - Luigi Berducci; Shuo Yang 007; Rahul Mangharam; Radu Grosu (ICRA, 2024)

Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving. - Axel Brunnbauer; Luigi Berducci; Peter Priller; Dejan Nickovic; Radu Grosu (CoRR, 2024)

HPRS: hierarchical potential-based reward shaping from task specifications. - Luigi Berducci; Edgar A. Aguilar; Dejan Nickovic; Radu Grosu (Frontiers Robotics AI, 2024)