Tutorial on Amortized Optimization

This repository contains the source code for the paper Tutorial on amortized optimization for learning to optimize over continuous domains by Brandon Amos. The main LaTeX source is in paper and the source code examples are in code. The code that generates the following plots is also in code/figures:

main-example.py

maxent-animation.py

maxent.py

ctrl.py

imaml.py

fixed-point.py

loss-comp.py

smoothed-loss.py

Licensing

The source code for this tutorial, plots, and sphere experiment is licensed under the CC BY-NC 4.0 License.