4 citations · 4 across the 4 of their papers we have counts for
3 papers · 1 filter
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…
Emergent Cooperative Strategies for Multi-Agent Shepherding via Reinforcement Learning
Italo Napolitano, Andrea Lama, Francesco De Lellis +1
We present a decentralized reinforcement learning (RL) approach to address the multi-agent shepherding control problem, departing from the conventional assumption of cohesive targe…
Preliminary results on the herdability of complex multiagent systems via local information
Andrea Lama, Mario Di Bernardo
We present preliminary results on the problem of driving the dynamics of a group of agents, the herders, so as to steer the collective behaviour of another group of agents, the tar…