https://github.com/tachukao/idoc

Implicit Differentiable Optimal Control (IDOC) with JAX
https://github.com/tachukao/idoc

automatic-differentiation implicit-differentiation lqr machine-learning optimal-control quadratic-programming

Last synced: 3 months ago
JSON representation

Implicit Differentiable Optimal Control (IDOC) with JAX

• Host: GitHub
• URL: https://github.com/tachukao/idoc
• Owner: tachukao
• Created: 2021-09-22T09:48:18.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2022-05-11T12:18:02.000Z (about 3 years ago)
• Last Synced: 2025-04-14T04:11:34.381Z (3 months ago)
• Topics: automatic-differentiation, implicit-differentiation, lqr, machine-learning, optimal-control, quadratic-programming
• Language: Python
• Homepage:
• Size: 90.8 KB
• Stars: 12
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Implicit Differentiable Optimal Control (IDOC) with JaxOpt

[![CI](https://github.com/tachukao/idoc/actions/workflows/ci.yaml/badge.svg?branch=main)](https://github.com/tachukao/idoc/actions/workflows/ci.yaml/badge.svg?branch=main)

## Install dependencies

```sh

conda create -n idoc --file requirements.txt

# or alternatively

pip install -r requirements.txt

```