Expert Intervention Learning
Author:
Funder
National Institutes of Health
National Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10514-021-10006-9.pdf
Reference47 articles.
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3. Amershi, S., Cakmak, M., Knox, W. B., & Kulesza, T. (2014). Power to the people: The role of humans in interactive machine learning. AI Magazine, 35, 105–120.
4. Argall, B. D., Chernova, S., Veloso, M., & Browning, B. (2009). A survey of robot learning from demonstration. Robotics and Autonomous Systems.
5. Bajcsy, A., Losey, D.P., O’Malley, M.K., & Dragan, A.D. (2018). Learning from physical human corrections, one feature at a time. In: Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (HRI)
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