3 research outputs found

    Efficient Approximate Planning in Continuous Space Markovian Decision Problems

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    In this article we consider Monte-Carlo planning algorithms for planning in continuous state-space, discounted Markovian Decision Problems (MDPs) having a smooth transition law and a finite action space. We prove various polynomial complexity results for the considered algorithms. 1 Introduction MDPs provide a clean and simple, yet fairly rich framework for studying various aspects of intelligence, such as, e.g., planning. A well-known practical limitation planning in MDPs is called the curse of dimensionality [1], referring to the exponential rise in the resources required to compute (even approximate) solutions to an MDP as the size of the MDP (the number of state variables) increases. For example, conventional dynamic programming (DP) algorithms, such as value- or policy-iteration scale exponentially with the size even if they are used as subroutines to sophisticated multigrid algorithms [4]. Moreover, the curse of dimensionality is not akin to any kind of special algorithm as shown..

    Community Agencies, Competition Law and ECB Initiatives on Securities Settlement

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    ISBN: 9780199571253 ; waiting for copyright clarification from publisher (Tim?)ISBN: 9780199571253ISBN: 978019957125

    sj-docx-1-sjs-10.1177_14574969231181228 – Supplemental material for Practice patterns in diagnostics, staging, and management strategies of gallbladder cancer among Nordic tertiary centers

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    Supplemental material, sj-docx-1-sjs-10.1177_14574969231181228 for Practice patterns in diagnostics, staging, and management strategies of gallbladder cancer among Nordic tertiary centers by Sini Takala, Kristoffer Lassen, Kjetil Søreide, Ernesto Sparrelid, Jon-Helge Angelsen, Erling A. Bringeland, Malin S. Eilard, Oskar Hemmingsson, Bengt Isaksson, Heikki Karjula, Jukka-Pekka Lammi, Peter N. Larsen, Maija Lavonius, Gert Lindell, Frank V. Mortensen, Kim Mortensen, Arno Nordin, Torsten Pless, Per Sandström, Oddvar Sandvik, Yrjö Vaalavuo, Christina Villard and Ville Sallinen in Scandinavian Journal of Surgery</p
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