# wanxinjin/Pontryagin-Differentiable-Programming

<https://repo.masters-masters.com/en/repos/wanxinjin/Pontryagin-Differentiable-Programming>

[Home](https://repo.masters-masters.com/en) › [wanxinjin](https://repo.masters-masters.com/en/owners/wanxinjin) › [Pontryagin-Differentiable-Programming](https://repo.masters-masters.com/en/repos/wanxinjin/Pontryagin-Differentiable-Programming)

wanxinjin/Pontryagin-Differentiable-Programming has 190 stars on GitHub. Its RepoMasters card: Prototype tier. A unified end-to-end learning and control…

| Field | Value |
| --- | --- |
| Owner | [wanxinjin](https://repo.masters-masters.com/en/owners/wanxinjin) |
| Stars | 190 |
| Forks | 25 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Topics | differentiable-programming, end-to-end-learning, inverse-reinforcement-learning, learning-control, trajectory-optimization, motion-planning, optimal-control, system-identification, control-systems, dynamical-systems |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [wanxinjin/Pontryagin-Differentiable-Programming](https://github.com/wanxinjin/Pontryagin-Differentiable-Programming) |

## Repository

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

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.