Stochastic Optimal Control with Side Information and Bayesian Learning

Johannes Milz, Alexander Shapiro, Enlu Zhou

We study infinite-horizon stochastic optimal control problems with observable side information: a Markov chain that modulates an unknown context-conditional randomness distribution…