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Imitation Learning as f-Divergence Minimization.

, , , , , и . WAFR, том 17 из Springer Proceedings in Advanced Robotics, стр. 313-329. Springer, (2021)

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On the Interaction Effects Between Prediction and Clustering., и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 118-126. PMLR, (2019)The Binomial Block Bootstrap Estimator for Evaluating Loss on Dependent Clusters., и . UAI, AUAI Press, (2017)Performance Bounds for Graphical Record Linkage., , и . AISTATS, том 54 из Proceedings of Machine Learning Research, стр. 298-306. PMLR, (2017)Leveraging Common Structure to Improve Prediction across Related Datasets., , , и . AAAI, стр. 4144-4145. AAAI Press, (2015)Imitation Learning as f-Divergence Minimization., , , , , и . CoRR, (2019)Imitation Learning as f-Divergence Minimization., , , , , и . WAFR, том 17 из Springer Proceedings in Advanced Robotics, стр. 313-329. Springer, (2021)Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation., , и . NeurIPS, стр. 15156-15166. (2019)Adaptive Robot-Assisted Feeding: An Online Learning Framework for Acquiring Previously Unseen Food Items., , , , и . IROS, стр. 9659-9666. IEEE, (2020)Massively Scalable Inverse Reinforcement Learning in Google Maps., , , , , , , и . ICLR, OpenReview.net, (2024)Learning from Interventions: Human-robot interaction as both explicit and implicit feedback., , , , , , и . Robotics: Science and Systems, (2020)