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) ...
Markov decision processes (MDPs) and stochastic control constitute pivotal frameworks for modelling decision-making in systems subject to uncertainty. At their core, MDPs provide a structured means to ...
Software engineer Sai Bhargav Yalamanchi notes that mathematical tools helping practitioners interpret uncertainty have ...
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