The proposed algorithm is shown to converge to optimal solutions. It is demonstrated in several problem instances; in case of a seven-dimensional game, the ...
Abstract—Zero-sum differential games constitute a promi- nent research topic in several fields ranging from economics to motion planning.
29)] 2018 Annual American Control Conference (ACC) - Continuous Tensor Train-Based Dynamic Programming for High-Dimensional Zero-Sum Differential Games. Tal ...
Ezra Tal, Alex Gorodetsky, Sertac Karaman: Continuous Tensor Train-Based Dynamic Programming for High-Dimensional Zero-Sum Differential Games. In: American ...
Ezra Tal, Alex Gorodetsky, Sertac Karaman: Continuous Tensor Train-Based Dynamic Programming for High-Dimensional Zero-Sum Differential Games. In: American ...
We have developed continuous extensions to low-rank tensor decompositions that enable low-rank approximation and computation with high-dimensional functions.
This work proposes novel dynamic programming algorithms that alleviate the curse of dimensionality in problems that exhibit certain low-rank structure, ...
Alex Gorodetsky University of Michigan | UM - ResearchGate
www.researchgate.net › profile › Alex-G...
High-Dimensional Stochastic Optimal Control using Continuous Tensor ... Tensor Train-Based Dynamic Programming for High-Dimensional Zero-Sum Differential Games.
Karaman, "Continuous Tensor Train-Based Dynamic Programming for High-Dimensional Zero ... Zero-sum differential games constitute a prominent research topic ...
Continuous Tensor Train-Based Dynamic Programming for High-Dimensional Zero-Sum Differential Games. 2018 Annual American Control Conference (ACC) Jun 2018.