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    Compressing POMDPs Using Locality Preserving Non-Negative Matrix Factorization
    13 years 6 months ago
    Compressing POMDPs Using Locality Preserving Non-Negative Matrix Factorization
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    Partially Observable Markov Decision Processes (POMDPs) are a well-established and rigorous framework for sequential decision-making under uncertainty. POMDPs are well-known to be...
    Georgios Theocharous, Sridhar Mahadevan
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