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    MP
    2010
    98views more  MP 2010»
    Risk-averse dynamic programming for Markov decision processes
    14 years 8 months ago
    Risk-averse dynamic programming for Markov decision processes
    Download  rutcor.rutgers.edu
    Andrzej Ruszczynski
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    AAAI
    1997
    119views Intelligent Agents» more  AAAI 1997»
    Structured Solution Methods for Non-Markovian Decision Processes
    14 years 11 months ago
    Structured Solution Methods for Non-Markovian Decision Processes
    Download  www.cs.toronto.edu
    Markov Decision Processes (MDPs), currently a popular method for modeling and solving decision theoretic planning problems, are limited by the Markovian assumption: rewards and dy...
    Fahiem Bacchus, Craig Boutilier, Adam J. Grove
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    IJCAI
    2007
    170views Artificial Intelligence» more  IJCAI 2007»
    First Order Decision Diagrams for Relational MDPs
    14 years 11 months ago
    First Order Decision Diagrams for Relational MDPs
    Download  www.cs.tufts.edu
    Dynamic programming algorithms provide a basic tool identifying optimal solutions in Markov Decision Processes (MDP). The paper develops a representation for decision diagrams sui...
    Chenggang Wang, Saket Joshi, Roni Khardon
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    AAAI
    2004
    108views Intelligent Agents» more  AAAI 2004»
    Solving Generalized Semi-Markov Decision Processes Using Continuous Phase-Type Distributions
    14 years 11 months ago
    Solving Generalized Semi-Markov Decision Processes Using Continuous Phase-Type Distributions
    Download  www.aaai.org
    We introduce the generalized semi-Markov decision process (GSMDP) as an extension of continuous-time MDPs and semi-Markov decision processes (SMDPs) for modeling stochastic decisi...
    Håkan L. S. Younes, Reid G. Simmons
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    CDC
    2008
    IEEE
    140views Control Systems» more  CDC 2008»
    Information state for Markov decision processes with network delays
    15 years 4 months ago
    Information state for Markov decision processes with network delays
    Download  wsl.stanford.edu
    We consider a networked control system, where each subsystem evolves as a Markov decision process (MDP). Each subsystem is coupled to its neighbors via communication links over wh...
    Sachin Adlakha, Sanjay Lall, Andrea J. Goldsmith
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