Pages that link to "Item:Q6054276"
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The following pages link to Data-Driven Tensor Train Gradient Cross Approximation for Hamilton–Jacobi–Bellman Equations (Q6054276):
Displaying 7 items.
- TT-QI: faster value iteration in tensor train format for stochastic optimal control (Q2038496) (← links)
- A data-driven approximate solution to the model-free HJB equation (Q3176468) (← links)
- Adaptive Deep Learning for High-Dimensional Hamilton--Jacobi--Bellman Equations (Q4997364) (← links)
- Approximative Policy Iteration for Exit Time Feedback Control Problems Driven by Stochastic Differential Equations using Tensor Train Format (Q5865245) (← links)
- Value-Gradient Based Formulation of Optimal Control Problem and Machine Learning Algorithm (Q6040292) (← links)
- Mini-workshop: Nonlinear approximation of high-dimensional functions in scientific computing. Abstracts from the mini-workshop held October 15--20, 2023 (Q6613392) (← links)
- A multilinear HJB-POD method for the optimal control of PDEs on a tree structure (Q6629218) (← links)
