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HMMs for controlling dynamical systems

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If you have a question about this talk, please contact David MacKay.

The talk speculates on one way of using a hidden Markov model to control a dynamical system, by simultaneously learning the HMM as a predictive model and using that model to optimize a policy online. I’ll try to compare this with the TD approach, and present some examples on (very) toy problems. My aim is really to start a discussion around this general theme rather than to promote one particular algorithm.

This talk is part of the Inference Group series.

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