Alignment of human and autonomous agent values and objectives is vital in human-
autonomy teaming settings which require collaborative action toward a common goal. In …

This letter introduces a preference learning method that ensures adherence to given
specifications, with an application to autonomous vehicles. Our approach incorporates the …

This article introduces a model-based approach for training feedback controllers for an
autonomous agent operating in a highly non-linear (albeit deterministic) environment. We …

Apprenticeship learning crucially depends on effectively learning rewards, and hence
control policies from user demonstrations. Of particular difficulty is the setting where the …

This work introduces a preference learning method that ensures adherence to traffic rules for
autonomous vehicles. Our approach incorporates priority ordering of signal temporal logic …

Alignment of autonomous agents' values and objectives with those of humans can greatly
enhance these agents' ability to act flexibly to safely and reliably meet humans' goals across …