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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SAGE Publications
2019
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| Online Access: | http://hdl.handle.net/1721.1/120322 https://orcid.org/0000-0003-3152-8206 https://orcid.org/0000-0002-2225-7275 https://orcid.org/0000-0001-8242-3290 |