wanxinjin / Pontryagin-Differentiable-Programming

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.

Date Created 2020-01-01 (4 years ago)

Commits 36 (last one about a year ago)

Stargazers 164 (0 this week)

Watchers 9 (0 this week)

Forks 23

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Ranking

RepositoryStats indexes 595,890 repositories, of these wanxinjin/Pontryagin-Differentiable-Programming is ranked #208,526 (65th percentile) for total stargazers, and #225,768 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #37,664/119,419.

wanxinjin/Pontryagin-Differentiable-Programming is also tagged with popular topics, for these it's ranked: reinforcement-learning (#581/1337), motion-planning (#62/150)

Other Information

wanxinjin/Pontryagin-Differentiable-Programming has Github issues enabled, there are 2 open issues and 2 closed issues.

Homepage URL: https://wanxinjin.github.io/Pontryagin-Differentiable-Programming/

All Topics

control-systems motion-planning optimal-control control-learning learning-control dynamical-systems imitation-learning end-to-end-learning system-identification reinforcement-learning trajectory-optimisation trajectory-optimization differentiable-programming pontryagin-maximum-principle inverse-reinforcement-learning reinforcement-learning-environments

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9 commits on the default branch (master) since jan '22

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The only known language in this repository is Python

updated: 2024-11-27 @ 12:46pm, id: 231231355 / R_kgDODchPew