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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...
| Autores principales: | , , , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2013
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/978-1-4471-5022-0 http://cds.cern.ch/record/1522333 |