This work concerns finte-state Markov decision chains endowed with the long-run average reward criterion. Assuming that the optimality equation has a solution, it is shown that a nearly optimal stationary policy, as well as an approximation to the optimal average reward within a specified error,...

This work concerns finte-state Markov decision chains endowed with the long-run average reward criterion. Assuming that the optimality equation has a solution, it is shown that a nearly optimal stationary policy, as well as an approximation to the optimal average reward within a specified error,...

This note concerns discrete-time Markov decision processes with denumerable state space. A control policy is graded by the long-run expected average reward criterion, and the main feature of the model is that the reward function and the transition law depend on an unknown parameter. Besides...

This note concerns discrete-time Markov decision processes with denumerable state space. A control policy is graded by the long-run expected average reward criterion, and the main feature of the model is that the reward function and the transition law depend on an unknown parameter. Besides...