A tensor-train policy iteration solver computes feedback controls for a 121-dimensional Allen-Cahn model and reduced Fokker-Planck models with polynomial scaling in dimension.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.OC 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Tensor Decomposition Methods for High-dimensional Hamilton-Jacobi-Bellman Equations
A tensor-train policy iteration solver computes feedback controls for a 121-dimensional Allen-Cahn model and reduced Fokker-Planck models with polynomial scaling in dimension.