Lazy Approximation : A New Approach for Solving Continuous Finite-Horizon MDPs

Abstract

Solving Markov decision processes (MDPs) with continuous state spaces is a challenge due to, among other problems, the well-known curse of dimensionality. Nevertheless, numerous real-world applications such as transportation planning and telescope observation scheduling exhibit a critical dependence on continuous states. Current approaches to continuous… (More)

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