On the Asymptotic Optimality of Finite Approximations to Markov Decision Processes with Borel Spaces
Mathematics of Operations Research, Vol. 42, No. 4 (November 2017), pp. 945-978 (34 pages) Calculating optimal policies is known to be computationally difficult for Markov decision processes (MDPs) ...
In this paper we consider infinite horizon discrete-time optimal control of Markov decision processes (MDPs) with finite state spaces and compact action sets. We restrict attention to unicost MDPs, ...
Finite State Machines (FSMs) have long been a cornerstone of digital system design, and continuing advancements in logic synthesis have enabled increasingly optimised implementations. At its core, FSM ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results