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.
Batch active learning of reward functions from human prefer- ences
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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.