Nature

Markov Decision Processes and Stochastic Control

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 ...
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The Simplex and Policy-Iteration Methods Are Strongly Polynomial for the Markov Decision Problem with a Fixed Discount Rate

This is a preview. Log in through your library . Abstract We prove that the classic policy-iteration method [Howard, R. A. 1960. Dynamic Programming and Markov Processes. MIT, Cambridge] and the ...
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A Survey of Partially Observable Markov Decision Processes: Theory, Models, and Algorithms

This is a preview. Log in through your library . Abstract This paper surveys models and algorithms dealing with partially observable Markov decision processes. A partially observable Markov decision ...