Continuous-Time/State/Action Fitted Value Iteration via Hamilton-Jacobi-Bellman (HJB)
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Updated
Feb 1, 2022 - Python
Continuous-Time/State/Action Fitted Value Iteration via Hamilton-Jacobi-Bellman (HJB)
LGI: Cortical Shape-Adaptive Local Gyrification Index
A GPU-accelerated toolbox for hyperbolic PDEs in a weaker (viscosity) sense. It leverages the integral to the solution of the conservation of momentum problem (being equivalent to the derivative of Hamilton-Jacobi equations) in one spatial dimension. We resolve such hyperbolic differential equations using wave-front propagating schemes on a spat…
This is the code for the paper "On some neural network architectures that can represent viscosity solutions of certain high dimensional Hamilton–Jacobi partial differential equations" by J.Darbon and T.Meng (https://doi.org/10.1016/j.jcp.2020.109907)
A parallel solver for first-order static Hamilton-Jacobi PDEs
Level-Set method examples
Codes for solving certain optimal control problems and Hamilton-Jacobi PDEs using neural networks.
Solves a Hamilton-Jacobi PDE fast (in seconds) to gradient limit a scalar field defined in 2D or 3D.
Code for the paper "Filtered schemes for Hamilton-Jacobi equations: a simple construction of convergent accurate difference schemes" by Adam Oberman and Tiago Salvador. (http://dx.doi.org/10.1016/j.jcp.2014.12.039)
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