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31
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Planning and control in stochastic domains with imperfect information
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2
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A Robust Robot Navigation Architecture Using Partially Observable Semi-Markov Decision Processes
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158
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Algorithms for Sequential Decision Making
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45
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Exploiting Structure to Efficiently Solve Large Scale Partially Observable Markov Decision Processes
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46
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Finding Approximate POMDP Solutions Through Belief Compression
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32
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Complexity of Finite-Horizon Markov Decision Process Problems
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231
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Probabilistic Robot Navigation in Partially Observable Environments
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49
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Passive Distance Learning for Robot Navigation
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342
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Decision-Theoretic Planning: Structural Assumptions and Computational Leverage
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128
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Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva
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629
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Planning and acting in partially observable stochastic domains
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3
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Discrete Bayesian Uncertainty Models for Mobile-Robot Navigation
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165
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Acting under Uncertainty: Discrete Bayesian Models for Mobile-Robot Navigation
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60
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Abstraction and Approximate Decision Theoretic Planning
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1134
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Reinforcement learning: a survey
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105
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Value-function approximations for partially observable Markov decision processes
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69
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Markovian Models for Sequential Data
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5
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Reinforcement learning for factored markov decision processes
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Predictive Representations For Sequential Decision Making Under Uncertainty
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