The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Locally Weighted Learning for Control
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Citations
Cites
Press, W. H., Teukolsky, S. A., Vetterling, W. T., & Flannery, B. P. (1994) · Cited by 15,411
Bellman, R. E. (2010) · doi:10.1515/9781400835386 · Cited by 14,588
Iterative Solution of Nonlinear Equations in Several Variables
Ortega, J. M., & Rheinboldt, W. C. (2000) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9780898719468 · Cited by 6,860
Watkins, C. (1989) · OpenGrey (Institut de l'Information Scientifique et Technique) · doi:10.17863/cam.132164 · Cited by 5,297
Learning to predict by the methods of temporal differences
Sutton, R. S. (1988) · Machine Learning · doi:10.1007/bf00115009 · Cited by 5,148
Numerical Recipes--The Art of Scientific Computing.
Fritsch, F. N., Press, W. H., Flannery, B. P., Teukolsky, S. A., & Vetterling, W. T. (1988) · Mathematics of Computation · doi:10.2307/2007938 · Cited by 4,845
Preparata, F. P., & Shamos, M. I. (1985) · Springer eBooks · doi:10.1007/978-1-4612-1098-6 · Cited by 3,655
Computational geometry. an introduction
Preparata, F. P., & Shamos, M. I. (1985) · Cited by 2,488
Friedman, J. H., & Stuetzle, W. (1981) · Journal of the American Statistical Association · doi:10.1080/01621459.1981.10477729 · Cited by 2,216
Atkeson, C. G., Moore, A. W., & Schaal, S. (1997) · Artificial Intelligence Review · doi:10.1023/a:1006559212014 · Cited by 1,671
Self-citation
Cited by
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
Incremental Online Learning in High Dimensions
Vijayakumar, S., D'Souza, A., & Schaal, S. (2005) · Neural Computation · doi:10.1162/089976605774320557 · Cited by 527
Self-citationModel learning for robot control: A survey
Nguyen-Tuong, D., & Peters, J. (2011) · Cognitive Processing · doi:10.1007/s10339-011-0404-1 · Cited by 503
An algorithmic perspective on imitation learning
Osa, T., Pajarinen, J., Neumann, G., Bagnell, J. A., Abbeel, P., & Peters, J. (2018) · Foundations and Trends in Robotics · doi:10.1561/2300000053 · Cited by 405
Stochastic dynamic programming with factored representations
Boutilier, C., Dearden, R., & Goldszmidt, M. (2000) · Artificial Intelligence · doi:10.1016/s0004-3702(00)00033-3 · Cited by 361
Metadata
- Authors
- Atkeson, C. G., Moore, A. W., & Schaal, S.
- Venue
- Artificial Intelligence Review
- Published
- 1997-02
- Volume
- 11
- Issue
- 1-5
- Pages
- 75-113
- ISSN
- 0269-2821 (ISSN-L)
- 1573-7462
- OpenAlex
- W1597173708
- Cited by
- 527
- References
- 47
- FWCI
- 15.22
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Locally Weighted Learning for Control. https://app.cochat.ai/papers/10.1023/a:1006511328852
- The paper
- Atkeson, C. G., Moore, A. W., & Schaal, S. (1997). Locally Weighted Learning for Control. Artificial Intelligence Review. https://doi.org/10.1023/a%3A1006511328852
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.
