Here and in a follow-on paper, we consider a simple control problem in which the underlying
dynamics depend on a parameter a that is unknown and must be learned. In this paper, we …

Here and in a companion paper, we consider a simple control problem in which the
underlying dynamics depend on a parameter a that is unknown and must be learned. In this …

This paper derives an optimal control strategy for a simple stochastic dynamical system with
constant drift and an additive control input. Motivated by the example of a physical system …

Many practical applications of online reinforcement learning require the satisfaction of safety
constraints while learning about the unknown environment. In this work, we study Linear …

We consider a simple control problem in which the underlying dynamics depend on a
parameter that is unknown and must be learned. We exhibit a control strategy which is …

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 …

We consider a simple control problem in which the underlying dynamics depend on a
parameter $ a $ that is unknown and must be learned. We study three variants of the control …

On geometric optimization, learning and control Page 1 On geometric optimization, learning
and control Melanie Weber A Dissertation Presented to the Faculty of Princeton University in …