An Efficient, Expressive and Local Minima-free Method for Learning Controlled Dynamical Systems

12 Feb 2017Ahmed HefnyCarlton DowneyGeoffrey J. Gordon

We propose a framework for modeling and estimating the state of controlled dynamical systems, where an agent can affect the system through actions and receives partial observations. Based on this framework, we propose the Predictive State Representation with Random Fourier Features (RFFPSR)... (read more)

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