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Quantifying Hypothesis Space Misspecification in Learning From Human-Robot Demonstrations and Physical Corrections.

, , , , and . IEEE Trans. Robotics, 36 (3): 835-854 (2020)

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SIRL: Similarity-based Implicit Representation Learning., , , , and . HRI, page 565-574. ACM, (2023)Adapting to Continuously Shifting Domains., , , and . ICLR (Workshop), OpenReview.net, (2018)Learning Perceptual Concepts by Bootstrapping From Human Queries., , , , , , and . IEEE Robotics Autom. Lett., 7 (4): 11260-11267 (2022)Learning Perceptual Concepts by Bootstrapping from Human Queries., , , , , , and . CoRR, (2021)Teaching Robots to Span the Space of Functional Expressive Motion., , , , , and . IROS, page 13406-13413. IEEE, (2022)Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation., , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 27630-27641. PMLR, (2023)Feature Expansive Reward Learning: Rethinking Human Input., , , and . CoRR, (2020)Getting aligned on representational alignment., , , , , , , , , and 19 other author(s). CoRR, (2023)Diagnosing and Augmenting Feature Representations in Correctional Inverse Reinforcement Learning., , , and . CoRR, (2023)Time-Efficient Reward Learning via Visually Assisted Cluster Ranking., , , and . CoRR, (2022)