High-dimensional stochastic optimal control using continuous tensor decompositions

Motion planning and control problems are embedded and essential in almost all robotics applications. These problems are often formulated as stochastic optimal control problems and solved using dynamic programming algorithms. Unfortunately, most existing algorithms that guarantee convergence to optim...

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Bibliographic Details
Main Authors: Gorodetsky, Alex Arkady (Contributor), Karaman, Sertac (Contributor), Marzouk, Youssef M (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor), Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor)
Format: Article
Language:English
Published: SAGE Publications, 2019-02-11T16:39:16Z.
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