Sample Efficient Path Integral Control under Uncertainty

Annual Conference on Neural Information Processing Systems, 2015.

Cited by: 22|Views17
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Abstract:

We present a data-driven optimal control framework that is derived using the path integral (PI) control approach. We find iterative control laws analytically without a priori policy parameterization based on probabilistic representation of the learned dynamics model. The proposed algorithm operates in a forward-backward manner which diffe...More

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