The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Handbook of Learning and Approximate Dynamic Programming
Abstract
. A complete resource to Approximate Dynamic Programming (ADP), including on-line simulation code. Provides a tutorial that readers can use to start implementing the learning algorithms provided in the book. Includes ideas, directions, and recent results on current research issues and addresses applications where ADP has been successfully implemented. The contributors are leading researchers in the field
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Citations
Cites
Bellman, R. E. (2010) · doi:10.1515/9781400835386 · Cited by 14,588
Reinforcement Learning: A Survey
Kaelbling, L. P., Littman, M. L., & Moore, A. W. (1996) · Journal of Artificial Intelligence Research · doi:10.1613/jair.301 · Cited by 8,972
Murray, J. J., Cox, C. J., Lendaris, G. G., & Saeks, R. (2002) · IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) · doi:10.1109/tsmcc.2002.801727 · Cited by 677
Cited by
Dounis, A. I., & Caraiscos, C. (2009) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2008.09.015 · Cited by 851
Al-Tamimi, A., Lewis, F. L., & Abu-Khalaf, M. (2007) · Automatica · doi:10.1016/j.automatica.2006.09.019 · Cited by 611
Lewis, F. L., & Vamvoudakis, K. G. (2011) · IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) · doi:10.1109/tsmcb.2010.2043839 · Cited by 544
Multiobjective Reinforcement Learning: A Comprehensive Overview
Liu, C., Xu, X., & Hu, D. (2015) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2014.2358639 · Cited by 361
Value iteration and adaptive dynamic programming for data-driven adaptive optimal control design
Bian, T., & Jiang, Z.-P. (2016) · Automatica · doi:10.1016/j.automatica.2016.05.003 · Cited by 348
Metadata
- Authors
- Si, J., Barto, A. G., Powell, W. B., & Wunsch, D.
- Venue
- Institute of Electrical and Electronics Engineers eBooks
- Publisher
- IEEE
- Published
- 2004
- OpenAlex
- W1854776945
- Cited by
- 856
- References
- 3
- FWCI
- 10.01
- Type
- book
- Language
- en
- Open access
- closed
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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.