On Trajectory Augmentations for Off-Policy Evaluation
Ge Gao, Qitong Gao, et al.
ICLR 2024
Programming by demonstration systems have long attempted to make it possible for people to program computers without writing code. However, while these systems have resulted in many publications in AI venues, none of the technologies have yet achieved widespread adoption. Usability remains a critical barrier to their success. On the basis of lessons learned from three different programming by demonstration systems, we present a set of guidelines to consider when designing usable AI-based systems. Copyright © 2009, Association for the Advancement of Artificial Intelligence. All rights reserved.
Ge Gao, Qitong Gao, et al.
ICLR 2024
Aakash Khochare, Yogesh Simmhan, et al.
eScience 2022
John R. Kender, Rick Kjeldsen
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bing Zhang, Mikio Takeuchi, et al.
ICAIF 2024