# kohonda/mppi\_playground

<https://repo.masters-masters.com/en/repos/kohonda/mppi_playground>

[Home](https://repo.masters-masters.com/en) › [kohonda](https://repo.masters-masters.com/en/owners/kohonda) › [mppi\_playground](https://repo.masters-masters.com/en/repos/kohonda/mppi_playground)

kohonda/mppi\_playground has 235 stars on GitHub. Its RepoMasters card: Prototype tier. Model Predictive Path Integral Control (MPPI) with PyTorch

| Field | Value |
| --- | --- |
| Owner | [kohonda](https://repo.masters-masters.com/en/owners/kohonda) |
| Stars | 235 |
| Forks | 28 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Topics | control, gpu-acceleration, gymnasium, model-predictive-control, motion-planning, mppi, pytorch |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [kohonda/mppi\_playground](https://github.com/kohonda/mppi_playground) |

## Repository

Model Predictive Path Integral Control (MPPI) with PyTorch

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.