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Learning Student and Content Embeddings for Personalized Lesson Sequence Recommendation.

, , and . L@S, page 93-96. ACM, (2016)

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Building Assistive Sensorimotor Interfaces through Human-in-the-Loop Machine Learning. University of California, Berkeley, USA, (2022)First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization., , and . NeurIPS, (2022)Assisted Perception: Optimizing Observations to Communicate State., , and . CoRL, volume 155 of Proceedings of Machine Learning Research, page 748-764. PMLR, (2020)Learning Human Objectives by Evaluating Hypothetical Behavior., , , , and . CoRR, (2019)Shared Autonomy via Deep Reinforcement Learning., , and . Robotics: Science and Systems, (2018)Learning Human Objectives by Evaluating Hypothetical Behavior., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 8020-8029. PMLR, (2020)Learning Student and Content Embeddings for Personalized Lesson Sequence Recommendation., , and . L@S, page 93-96. ACM, (2016)Scaled Autonomy: Enabling Human Operators to Control Robot Fleets., , , and . ICRA, page 5942-5948. IEEE, (2020)X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback., , , , , , , and . CoRR, (2022)Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior., , and . NeurIPS, page 1461-1472. (2018)