COIL casts multi-task interactive robot learning as an uncapacitated facility location problem and uses approximation algorithms to plan skill, preference, and help queries that reduce human effort.
Learning to optimize autonomy in competence- aware systems
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Optimal Interactive Learning on the Job via Facility Location Planning
COIL casts multi-task interactive robot learning as an uncapacitated facility location problem and uses approximation algorithms to plan skill, preference, and help queries that reduce human effort.