Solving the Shepherding Problem: Imitation Learning Can Acquire the Switching Algorithm

• Main Authors: Go, Clark Kendrick C, Koganti, Nishanth, Ikeda, Kazushi
• 格式: text
• 出版: Archīum Ateneo 2021
• 主題: Adaptation models; Heuristic algorithms; Neural networks; Switches; Dogs; Reinforcement learning; Logic gates; imitation learning; herding; Mathematics
• 在線閱讀: https://archium.ateneo.edu/mathematics-faculty-pubs/180; https://ieeexplore.ieee.org/document/9533722

A single shepherd dog can herd a flock of sheep to a gate. Despite a heuristic algorithm of a dog based on adaptive switching between collecting the sheep when they are too dispersed and driving them once they are aggregated, it remains unknown how the dog learns the algorithm of switching. In fact,...