AI RESEARCH
A Deep Reinforcement Learning Framework for Closed-loop Guidance of Fish Schools via Virtual Agents
arXiv CS.LG
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ArXi:2603.28200v1 Announce Type: cross Guiding collective motion in biological groups is a fundamental challenge in understanding social interaction rules and developing automated systems for animal management. In this study, we propose a deep reinforcement learning (RL) framework for the closed-loop guidance of fish schools using virtual agents.