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.
Confidence- based policy learning from demonstration using Gaussian mixture models
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.