Skip to content

An experimental framework for monitoring and controlling anytime algorithms with online performance prediction

Notifications You must be signed in to change notification settings

justinsvegliato/online-performance-prediction

Repository files navigation

online-performance-prediction

This experimental framework allows an intelligent system to decide when to stop thinking and start acting: in particular, the system can use this code to determine when to interrupt an anytime algorithm and act on the current solution by predicting the performance of the anytime algorithm online.

Run

In order to run the experiments in this paper, you just have to run the following command in a terminal window:

python experiments.py

Citation

Please cite the following paper if you use Morality.js in your own research.

  • Meta-Level Control of Anytime Algorithms with Online Performance Prediction
  • Justin Svegliato — Kyle Hollins Wray — Shlomo Zilberstein
  • Proceedings of the 27th International Joint Conference of Artificial Intelligence (IJCAI)
  • July 2018

About

An experimental framework for monitoring and controlling anytime algorithms with online performance prediction

Topics

Resources

Stars

Watchers

Forks

Languages