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Stochastic Recursive Algorithms for Optimization: Simultaneous Perturbation Methods
Stochastic Recursive Algorithms for Optimization presents algorithms for constrained and unconstrained optimization and for reinforcement learning. Efficient perturbation approaches form a thread unifying all the algorithms considered. Simultaneous perturbation stochastic approximation and smooth fr...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2013
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/978-1-4471-4285-0 http://cds.cern.ch/record/1500138 |