1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.SY2024
Active Learning of Dynamics Using Prior Domain Knowledge in the Sampling Process
Kevin S. Miller, Adam J. Thorpe, Ufuk Topcu
We present an active learning algorithm for learning dynamics that leverages side information by explicitly incorporating prior domain knowledge into the sampling process. Our prop…
cs.HC2023
Refining Human-Centered Autonomy Using Side Information
Adam J. Thorpe
Data-driven algorithms for human-centered autonomy use observed data to compute models of human behavior in order to ensure safety, correctness, and to avoid potential errors that…
eess.SY2023★ 1 cited
Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control
Adam J. Thorpe, Cyrus Neary, Franck Djeumou +2
Data-driven control algorithms use observations of system dynamics to construct an implicit model for the purpose of control. However, in practice, data-driven techniques often req…