Towards student/teacher learning in sequential decision tasks
Lisa Torrey, Matthew Edmund Taylor · 2012
Significant advances have been made in allowing agents to learn, both autonomously and with human guidance. However, less attention has been paid to the question of how agents could best teach each other. For instance, an existing robot in a factory should be able to instruct a newly arriving robot, even if it is from a different manufacturer, has a different knowledge representation, or is not optimal itself.