Using Collective Intelligence to Route Internet Traffic
<|reference_start|>Using Collective Intelligence to Route Internet Traffic: A COllective INtelligence (COIN) is a set of interacting reinforcement 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 using 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.<|reference_end|>
@article{wolpert1999using,
    title={Using Collective Intelligence to Route Internet Traffic},
    author={David H. Wolpert, Kagan Tumer, Jeremy Frank},
    journal={Advances in Information Processing Systems - 11, eds M. Kearns, S.
  Solla, D. Cohn, MIT Press, 1999},
    year={1999},
    archivePrefix={arXiv},
    eprint={cs/9905004},
    primaryClass={cs.LG adap-org cond-mat.stat-mech cs.DC cs.NI nlin.AO}
}