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A Reinforcement-Learning Approach to Power Management
(2002-05-01)
We describe an adaptive, mid-level approach to the wireless device power management problem. Our approach is based on reinforcement learning, a machine learning framework for autonomous agents. We describe how our ...
Online Learning of Non-stationary Sequences
(2005-11-17)
We consider an online learning scenario in which the learner can make predictions on the basis of a fixed set of experts. We derive upper and lower relative loss bounds for a class of universal learning algorithms involving ...