4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.RO2023
Learning Adaptive Safety for Multi-Agent Systems
Luigi Berducci, Shuo Yang, Rahul Mangharam +1
Ensuring safety in dynamic multi-agent systems is challenging due to limited information about the other agents. Control Barrier Functions (CBFs) are showing promise for safety ass…
cs.LG2022★ 3 cited
Safe Policy Improvement in Constrained Markov Decision Processes
Luigi Berducci, Radu Grosu
The automatic synthesis of a policy through reinforcement learning (RL) from a given set of formal requirements depends on the construction of a reward signal and consists of the i…
cs.LG2021★ 4 cited
Hierarchical Potential-based Reward Shaping from Task Specifications
Luigi Berducci, Edgar A. Aguilar, Dejan Ničković +1
The automatic synthesis of policies for robotic-control tasks through reinforcement learning relies on a reward signal that simultaneously captures many possibly conflicting requir…