Simulation-Based Algorithms for Markov Decision Processes

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Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dimensionality and so making practical solution of the resulting models intractable. In other cases, the system of interest is too complex to allow explicit specification of some of the MDP model parameters, but simulation samples ...

Simulation-Based Algorithms for Markov Decision Processes 2015, Springer

ISBN-13: 9781447159902

2nd 2013 edition

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Simulation-Based Algorithms for Markov Decision Processes 2013, Springer London Ltd, England

ISBN-13: 9781447150213

2nd edition 2013

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Simulation-based Algorithms for Markov Decision Processes 2010, Springer London Ltd, England

ISBN-13: 9781849966436

Paperback

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Simulation-Based Algorithms for Markov Decision Processes 2007, Springer, London, England

ISBN-13: 9781846286896

Hardcover

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