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 (5 years ago)

Commits 36 (last one about a year ago)

Stargazers 164 (0 this week)

Watchers 10 (0 this week)

Forks 24

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RepositoryStats indexes 609,829 repositories, of these wanxinjin/Pontryagin-Differentiable-Programming is ranked #211,846 (65th percentile) for total stargazers, and #208,648 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #38,494/123,022.

wanxinjin/Pontryagin-Differentiable-Programming is also tagged with popular topics, for these it's ranked: reinforcement-learning (#591/1368), motion-planning (#62/153)

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: 2025-01-23 @ 04:58am, id: 231231355 / R_kgDODchPew