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On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference.

, , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 5670-5679. PMLR, (2019)

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Manipulation planning with goal sets using constrained trajectory optimization., , and . ICRA, page 4582-4588. IEEE, (2011)SQIL: Imitation Learning via Regularized Behavioral Cloning., , and . CoRR, (2019)Robot grasping in clutter: Using a hierarchy of supervisors for learning from demonstrations., , , , , , , and . CASE, page 827-834. IEEE, (2016)A Hamilton-Jacobi Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning., , , , and . ICRA, page 7149-7155. IEEE, (2020)A Robust Control Framework for Human Motion Prediction., , , , and . IEEE Robotics Autom. Lett., 6 (1): 24-31 (2021)Learning Optimal Advantage from Preferences and Mistaking it for Reward., , , , , , and . CoRR, (2023)Expressive Robot Motion Timing., , , and . CoRR, (2018)Assistive teleoperation for manipulation tasks., and . HRI, page 123-124. ACM, (2012)Preferences Implicit in the State of the World., , , , and . ICLR (Poster), OpenReview.net, (2019)Probabilistically Safe Robot Planning with Confidence-Based Human Predictions., , , , , , and . Robotics: Science and Systems, (2018)