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20232025
most citedEmergent Cooperative Strategies for Multi-Agent Shepherding via Reinforcement Learning

4 citations · 4 across the 4 of their papers we have counts for

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2 papers · 1 filter

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…

cond-mat.soft2025

Nonreciprocal field theory for decision-making in multi-agent control systems

Andrea Lama, Mario di Bernardo, Sabine H. L. Klapp

Field theories for complex systems traditionally focus on collective behaviors emerging from simple, reciprocal pairwise interaction rules. However, many natural and artificial sys…