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…