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For safety-critical applications like driving, there are three desirable properties a preference learning method should sat- isfy to allow safe personalization: (i) expressivity: the model should be expressive enough to capture preferences; (ii) safety: it ensures safety by preferring a rule-following behavior against ...
Mar 25, 2024
Oct 30, 2023 · This work introduces a preference learning method that ensures adherence to given specifications, with an application to autonomous vehicles.
This work introduces a preference learning method that ensures adherence to given specifications, with an application to autonomous vehicles. Our approach ...
Abstract— This work introduces a preference learning method that ensures adherence to traffic rules for autonomous vehicles. Our approach incorporates ...
Jun 6, 2024 · This work introduces a preference learning method that ensures adherence to given specifications, with an application to autonomous vehicles ...
This work introduces a preference learning method that ensures adherence to traffic rules for autonomous vehicles by leveraging the parametric weighted ...
May 14, 2024 · In this work, we propose a safety-guaranteed personalization for autonomous vehicles by incorporating Signal Temporal Logic (STL) into ...
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May 9, 2023 · In this work, we propose a safety-guaranteed personalization for autonomous vehicles by incorporating Signal Temporal Logic (STL) into preference learning ...
This work introduces a preference learning method that ensures adherence to traffic rules for autonomous vehicles. Recommended citation: R. Karagulle, N.