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Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control
Abstract
From the Publisher: * Unique in its survey of the range of topics. * Contains a strong, interdisciplinary format that will appeal to both students and researchers. * Features exercises and web links to software and data sets.
Overview
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Citations
Cited by
Well-Tempered Metadynamics: A Smoothly Converging and Tunable Free-Energy Method
Barducci, A., Bussi, G., & Parrinello, M. (2008) · Physical Review Letters · doi:10.1103/physrevlett.100.020603 · Cited by 3,184
Reinforcement learning in robotics: A survey
Kober, J., Bagnell, J. A., & Peters, J. (2013) · The International Journal of Robotics Research · doi:10.1177/0278364913495721 · Cited by 3,160
Reinforcement learning of motor skills with policy gradients
Peters, J., & Schaal, S. (2008) · Neural Networks · doi:10.1016/j.neunet.2008.02.003 · Cited by 831
Information-seeking, curiosity, and attention: computational and neural mechanisms
Gottlieb, J., Oudeyer, P.-Y., Lopes, M., & Baranes, A. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.09.001 · Cited by 784
Simulation-based optimal bayesian experimental design for nonlinear systems
Huan, X., & Marzouk, Y. M. (2013) · Journal of Computational Physics · doi:10.1016/j.jcp.2012.08.013 · Cited by 438
“nonlinear simplex algorithm [42] has been well studied and is widely used for deterministic optimization. The details of the algorithm are thus omitted from this discussion but can be found, e.g., in [42,43,44]. This algorithm hasanaturaladvantageindealingwithnoisyobjectivefunctionsbecauseitrequires onlyarelative orde…”
Background
Metadata
- Authors
- Spall, J. C.
- Venue
- Wiley eBooks
- Publisher
- Wiley
- Published
- 2003-03-26
- OpenAlex
- W203276351
- Cited by
- 1,890
- References
- 0
- FWCI
- 23.99
- Type
- book
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
