# MaxMSun/lqrax

<https://repo.masters-masters.com/en/repos/MaxMSun/lqrax>

[Home](https://repo.masters-masters.com/en) › [MaxMSun](https://repo.masters-masters.com/en/owners/MaxMSun) › [lqrax](https://repo.masters-masters.com/en/repos/MaxMSun/lqrax)

MaxMSun/lqrax has 226 stars on GitHub. Its RepoMasters card: Prototype tier. GPU-friendly, auto-differentiable LQR solver with JAX. Language: Python.

| Field | Value |
| --- | --- |
| Owner | [MaxMSun](https://repo.masters-masters.com/en/owners/MaxMSun) |
| Stars | 226 |
| Forks | 9 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2025 |
| Topics | ilqr, iterative-linear-quadratic, lqr, lqr-controller, optimal-control, trajectory-optimization, jax, riccati-equations, riccati-solver, linear-quadratic-regularator |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [MaxMSun/lqrax](https://github.com/MaxMSun/lqrax) |

## Repository

GPU-friendly, auto-differentiable LQR solver with JAX.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.