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Swarm control is a difficult problem due to the need to guide a large numberof agents simultaneously. We cast the problem as a shepherding problem, similarto biological dogs guiding a group of sheep towards a goal. The shepherd needsto deal with complex and dynamic environments and make decisions in order todirect the swarm from one location to another. In this paper, we design a novelcurriculum to teach an artificial intelligence empowered agent to shepherd inthe presence of the large state space associated with the shepherding problemand in a transparent manner. The results show that a properly designedcurriculum could indeed enhance the speed of learning and the complexity oflearnt behaviours.

Transparent Machine Education of Neural Networks for Swarm Shepherding Using Curriculum Design