Simulation-based algorithms for markov decision processes /
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 dim...
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Päätekijät: | , , , |
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Yhteisötekijä: | |
Aineistotyyppi: | E-kirja |
Kieli: | English |
Julkaistu: |
London
Springer London Imprint: Springer,
2013.
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Painos: | Second edition 2013. |
Sarja: | Communications and Control Engineering,
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Linkit: | Click here to view the full text content |
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