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02/04/2022
BAM: Bayes with Adaptive Memory
Online learning via Bayes' theorem allows new data to be continuously in...
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06/30/2021
Koopman Spectrum Nonlinear Regulator and Provably Efficient Online Learning
Most modern reinforcement learning algorithms optimize a cumulative sing...
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12/12/2020
Faster Policy Learning with Continuous-Time Gradients
We study the estimation of policy gradients for continuous-time systems ...
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06/22/2020
Information Theoretic Regret Bounds for Online Nonlinear Control
This work studies the problem of sequential control in an unknown, nonli...
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06/04/2020
Model-Based Generalization Under Parameter Uncertainty Using Path Integral Control
This work addresses the problem of robot interaction in complex environm...
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01/21/2020
Lyceum: An efficient and scalable ecosystem for robot learning
We introduce Lyceum, a high-performance computational ecosystem for robo...
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11/05/2018
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control
We propose a plan online and learn offline (POLO) framework for the sett...
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03/28/2018