3 papers
eess.SY2026
Multi-robot obstacle-aware shepherding of non-cohesive target agents
Cinzia Tomaselli, Stefano Covone, Andreagiovanni Reina +1
This paper presents a novel control strategy for multi-agent shepherding of non-cohesive targets in obstacle-rich environments. Unlike previous approaches that assume cohesive floc…
eess.SY2025
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…
cs.LG2025
Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive Targets
Stefano Covone, Italo Napolitano, Francesco De Lellis +1
We propose a decentralized reinforcement learning solution for multi-agent shepherding of non-cohesive targets using policy-gradient methods. Our architecture integrates target-sel…