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Formal methods for semi-autonomous driving., , and . DAC, page 148:1-148:5. ACM, (2015)Learning Human Objectives from Sequences of Physical Corrections., , , and . ICRA, page 2877-2883. IEEE, (2021)Active Preference-Based Gaussian Process Regression for Reward Learning., , , and . Robotics: Science and Systems, (2020)Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets., , , and . Robotics: Science and Systems, (2023)Influencing Leading and Following in Human-Robot Teams., , , and . Robotics: Science and Systems, (2019)Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving., , , , , , and . Robotics: Science and Systems, (2020)Learning Reward Functions by Integrating Human Demonstrations and Preferences., , , and . Robotics: Science and Systems, (2019)Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners., , , , , , , , , and 4 other author(s). CoRL, volume 229 of Proceedings of Machine Learning Research, page 661-682. PMLR, (2023)KITE: Keypoint-Conditioned Policies for Semantic Manipulation., , , and . CoRL, volume 229 of Proceedings of Machine Learning Research, page 1006-1021. PMLR, (2023)Learning Feasibility to Imitate Demonstrators with Different Dynamics., , , and . CoRL, volume 164 of Proceedings of Machine Learning Research, page 363-372. PMLR, (2021)