4 citations · 4 across the 7 of their papers we have counts for
8 papers
Entropy-Regularized Optimal Transport for Time-Varying Multi-Agent Coverage Control
Italo Napolitano, Mario di Bernardo
This paper addresses time-varying coverage control for multi-agent systems, formulated as the tracking of an evolving target density via entropy-regularized semi-discrete optimal t…
Schrödinger Bridges over Kinetic Swarming Models
Asmaa Eldesoukey, Md Zulfiqur Haider, Italo Napolitano +2
Paradigmatic interaction models explain how collective behaviors can emerge in complex systems from interactions among the constituent agents. In bio-inspired swarms, however, inte…
Semi-discrete Optimal Transport for Time-Varying Multi-Agent Coverage Control
Italo Napolitano, Mario di Bernardo
Coverage control algorithms have traditionally focused on static target densities, where agents optimally cover a fixed spatial distribution. However, many applications, such as en…
Decentralized Shepherding of Non-Cohesive Swarms Through Cluttered Environments via Deep Reinforcement Learning
Cristiana Punzo, Italo Napolitano, Cinzia Tomaselli +1
This paper investigates decentralized shepherding in cluttered environments, where a limited number of herders must guide a larger group of non-cohesive, diffusive targets toward a…
Sparse shepherding control of large-scale multi-agent systems via Reinforcement Learning
Luigi Catello, Italo Napolitano, Davide Salzano +1
We propose a Reinforcement Learning framework for sparse indirect control of large-scale multi-agent systems, where few controlled agents shape the collective behavior of many unco…
Hierarchical Learning-Based Control for Multi-Agent Shepherding of Stochastic Autonomous Agents
Italo Napolitano, Stefano Covone, Andrea Lama +2
Multi-agent shepherding represents a challenging distributed control problem where herder agents must coordinate to guide independently moving targets to desired spatial configurat…