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Abstract:
This paper examines the application of reinforcement learning
to a wireless communication problem. The problem requires that
channel utility be maximized while simultaneously minimizing
battery usage. We present a solution to this multi-criteria problem
that is able to significantly reduce power consumption. The
solution uses a variable discount factor to capture the effects of
battery usage.
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