| |
Abstract:
A COllective INtelligence (COIN) is a set of interacting
reinforcement learning (RL) algorithms designed 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.
|
