3 research outputs found

    Quasi-Deterministic Partially Observable Markov Decision Processes

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    Abstract. We study a subclass of POMDPs, called quasi-deterministic POMDPs (QDET-POMDPs), characterized by deterministic actions and stochastic observations. While this framework does not model the same general problems as POMDPs, they still capture a number of interesting and challenging problems and, in some cases, have interesting properties. By studying the observability available in this subclass, we show that QDET-POMDPs may fall many steps in the complexity classes of polynomial hierarchy.
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