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cs.LG2019★ 1 cited
Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control
Jeremy Morton, Freddie D Witherden, Mykel J Kochenderfer
Koopman theory asserts that a nonlinear dynamical system can be mapped to a linear system, where the Koopman operator advances observations of the state forward in time. However, t…
cs.LG2017
Simultaneous Policy Learning and Latent State Inference for Imitating Driver Behavior
Jeremy Morton, Mykel J. Kochenderfer
In this work, we propose a method for learning driver models that account for variables that cannot be observed directly. When trained on a synthetic dataset, our models are able t…