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On the significance of Markov decision processes
1997Formulating the problem facing an intelligent agent as a Markov decision process (MDP) is increasingly common in artificial intelligence, reinforcement learning, artificial life, and artificial neural networks. In this short paper we examine some of the reasons for the appeal of this framework.
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Markov Decision Process Measurement Model
Psychometrika, 2018Within-task actions can provide additional information on student competencies but are challenging to model. This paper explores the potential of using a cognitive model for decision making, the Markov decision process, to provide a mapping between within-task actions and latent traits of interest. Psychometric properties of the model are explored, and
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Policy Bounds for Markov Decision Processes
Operations Research, 1986This paper demonstrates how a Markov decision process (MDP) can be approximated to generate a policy bound, i.e., a function that bounds the optimal policy from below or from above for all states. We present sufficient conditions for several computationally attractive approximations to generate rigorous policy bounds.
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Accretive Operators and Markov Decision Processes
Mathematics of Operations Research, 1980The dynamic programming functional equation for an abstract, continuous parameter, Markov decision process is shown to involve an operator which is m-accretive, thus giving rise to a nonlinear semigroup, called the Bellman semigroup. A class of controls is specified for which the maximum expected reward over a finite planning horizon is given by this ...
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Markov Chains and Markov Decision Processes in Isabelle/HOL
Journal of Automated Reasoning, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A primer on partially observable Markov decision processes (POMDPs)
Methods in Ecology and Evolution, 2021Cameron S Fletcher +2 more
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Robust Markov Decision Processes: Beyond Rectangularity
Mathematics of Operations Research, 2023Vineet Goyal, Julien Grand-Clement
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Some Monotonicity Results for Partially Observed Markov Decision Processes
Operations Research, 1987William S Lovejoy
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Quantum Markov Decision Processes
2024 IEEE 63rd Conference on Decision and Control (CDC)Naci Saldi, Sina Sanjari, Serdar Yüksel
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