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A Safe Preference Learning Approach for Personalization With Applications to Autonomous Vehicles.

, , , , and . IEEE Robotics Autom. Lett., 9 (5): 4226-4233 (May 2024)

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Building a distributed robot garden., , , , , , , , , and 8 other author(s). IROS, page 1509-1516. IEEE, (2009)Forward invariant cuts to simplify proofs of safety., , , , and . EMSOFT, page 227-236. IEEE, (2015)Back-propagation through Signal Temporal Logic Specifications: Infusing Logical Structure into Gradient-Based Methods., , and . CoRR, (2020)Back-Propagation Through Signal Temporal Logic Specifications: Infusing Logical Structure into Gradient-Based Methods., , and . WAFR, volume 17 of Springer Proceedings in Advanced Robotics, page 432-449. Springer, (2021)Backpropagation for Parametric STL., , and . IV, page 185-192. IEEE, (2019)A Safe Preference Learning Approach for Personalization With Applications to Autonomous Vehicles., , , , and . IEEE Robotics Autom. Lett., 9 (5): 4226-4233 (May 2024)Incorporating Logic in Online Preference Learning for Safe Personalization of Autonomous Vehicles., , , , and . HSCC, page 5:1-5:11. ACM, (2024)A Preference Learning Approach to Develop Safe and Personalizable Autonomous Vehicles., , , , and . CoRR, (2023)Understanding and Shifting Preferences for Battery Electric Vehicles., , , , , , , , , and 5 other author(s). CoRR, (2022)Better AI through Logical Scaffolding., , , and . CoRR, (2019)