An example client device includes processing circuitry and a memory including instructions that, when executed by the processing circuitry, cause the client device to undertake certain actions. Certain instructions cause the device to periodically measure active network performance data for a network, calculate expected rewards for the plurality of entry points, select an expected best entry point based on the expected rewards, route data to the selected entry point, measure passive network performance data for the selected entry point, and update a reinforcement learning algorithm, based in part on the measured passive network performance data.