  We consider a simple linear control problem in which a single parameter $b$,
describing the effect of the control variable, is unknown and must be learned.
We work in the setting of agnostic control: we allow $b$ to be any real number
and we do not assume that we have a prior belief about $b$. For any fixed time
horizon, we produce a strategy whose expected cost is within a constant factor
of the best possible.
