Model predictive control techniques for autonomous systems
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United States of America Patent
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May 9, 2023
Grant Date -
Oct 28, 2021
app pub date -
Apr 28, 2020
filing date -
Apr 28, 2020
priority date (Note) -
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Abstract
Apparatuses, systems, and techniques to infer a sequence of actions to perform using one or more neural networks trained, at least in part, by optimizing a probability distribution function using a cost function, wherein the probability distribution represents different sequences of actions that can be performed. In at least one embodiment, a model predictive control problem is formulated as a Bayesian inference task to infer a set of solutions.
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