https://github.com/facebookresearch/amortized-optimization-tutorial

Tutorial on amortized optimization for learning to optimize over continuous domains
https://github.com/facebookresearch/amortized-optimization-tutorial

Last synced: 6 months ago
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Tutorial on amortized optimization for learning to optimize over continuous domains

• Host: GitHub
• URL: https://github.com/facebookresearch/amortized-optimization-tutorial
• Owner: facebookresearch
• License: other
• Created: 2022-01-31T01:47:23.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2025-03-02T20:09:00.000Z (11 months ago)
• Last Synced: 2025-03-02T21:19:57.585Z (11 months ago)
• Language: TeX
• Size: 66.2 MB
• Stars: 236
• Watchers: 9
• Forks: 12
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

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README

          
# Tutorial on Amortized Optimization

This repository contains the source code for the paper

[Tutorial on amortized optimization for

learning to optimize over continuous domains](https://arxiv.org/abs/2202.00665)

by

[Brandon Amos](http://bamos.github.io).

The main LaTeX source is in [paper](./paper)

and the source code examples are in [code](./code).

The code that generates the following plots is also

in [code/figures](./code/figures):

## [main-example.py](./code/figures/main-example.py)

![](./paper/fig/opt.png?raw=true)

![](./paper/fig/learning-obj.png?raw=true)

![](./paper/fig/learning-reg.png?raw=true)

![](./paper/fig/learning-rl.png?raw=true)

## [maxent-animation.py](./code/figures/maxent-animation.py)

![](./paper/fig/maxent.gif?raw=true)

## [maxent.py](./code/figures/maxent.py)

![](./paper/fig/maxent.png?raw=true)

## [ctrl.py](./code/figures/ctrl.py)

![](./paper/fig/ctrl.png?raw=true)

## [imaml.py](./code/figures/imaml.py)

![](./paper/fig/imaml.png?raw=true)

## [fixed-point.py](./code/figures/fixed-point.py)

![](./paper/fig/fp.png?raw=true)

## [loss-comp.py](./code/figures/loss-comp.py)

![](./paper/fig/loss-comp.png?raw=true)

## [smoothed-loss.py](./code/figures/smoothed-loss.py)

![](./paper/fig/smoothed-loss.png?raw=true)

# Licensing

The source code for this tutorial, plots, and

sphere experiment is licensed under the

[CC BY-NC 4.0 License](https://creativecommons.org/licenses/by-nc/4.0/).