Using Collective Intelligence to Route Internet Traffic
Abstract
A COllective INtelligence (COIN) is a set of interacting reinforce(cid:173) ment learning (RL) algorithms designed in an automated fashion so that their collective behavior optimizes a global utility function. We summarize the theory of COINs, then present experiments us(cid:173) ing that theory to design COINs to control internet traffic routing. These experiments indicate that COINs outperform all previously investigated RL-based, shortest path routing algorithms.
Cite
Text
Wolpert et al. "Using Collective Intelligence to Route Internet Traffic." Neural Information Processing Systems, 1998.Markdown
[Wolpert et al. "Using Collective Intelligence to Route Internet Traffic." Neural Information Processing Systems, 1998.](https://mlanthology.org/neurips/1998/wolpert1998neurips-using/)BibTeX
@inproceedings{wolpert1998neurips-using,
title = {{Using Collective Intelligence to Route Internet Traffic}},
author = {Wolpert, David and Tumer, Kagan and Frank, Jeremy},
booktitle = {Neural Information Processing Systems},
year = {1998},
pages = {952-960},
url = {https://mlanthology.org/neurips/1998/wolpert1998neurips-using/}
}