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Autonomy infused teleoperation with application to brain computer interface controlled manipulation.

, , , , , , , , , and . Auton. Robots, 41 (6): 1401-1422 (2017)

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Gradient Boosting on Stochastic Data Streams., , , , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 595-603. PMLR, (2017)Learning to Filter with Predictive State Inference Machines., , , and . CoRR, (2015)Feedback in Imitation Learning: The Three Regimes of Covariate Shift., , , , and . CoRR, (2021)Improving Multi-Step Prediction of Learned Time Series Models., , and . AAAI, page 3024-3030. AAAI Press, (2015)Perceiving, Learning, and Exploiting Object Affordances for Autonomous Pile Manipulation., , , , and . Robotics: Science and Systems, (2013)Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction., , , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 3309-3318. PMLR, (2017)Perceiving, learning, and exploiting object affordances for autonomous pile manipulation., , , , and . Auton. Robots, 37 (4): 369-382 (2014)Online Instrumental Variable Regression with Applications to Online Linear System Identification., , , , and . AAAI, page 2101-2107. AAAI Press, (2016)Inference Machines for Nonparametric Filter Learning., , , , and . IJCAI, page 2074-2081. IJCAI/AAAI Press, (2016)Predictive-State Decoders: Encoding the Future into Recurrent Networks., , , , , , , and . NIPS, page 1172-1183. (2017)