FastRoutingunder Uncertainty: AdaptiveLearning inCongestionGameswithExponentialWeights

We examine an adaptive learning framework for nonatomic congestion games where the players' cost functions may be subject to exogenous fluctuations (e.g., due to disturbances in the network, variations in the traffic going through a link, etc.).