The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A stochastic reinforcement learning algorithm for learning real-valued functions
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Citations
Cites
WIDROW, B., & HOFF, M. E. (1960) · doi:10.21236/ad0241531 · Cited by 4,009
A learning algorithm for Boltzmann machines
Ackley, D. H., Hinton, G. E., & Sejnowski, T. J. (1985) · Cognitive Science · doi:10.1207/s15516709cog0901_7 · Cited by 3,402
Cited by
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
Reinforcement learning for demand response: A review of algorithms and modeling techniques
Vázquez-Canteli, J. R., & Nagy, Z. (2019) · Applied Energy · doi:10.1016/j.apenergy.2018.11.002 · Cited by 883
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
Meta-learning in Reinforcement Learning
Schweighofer, N., & Doya, K. (2003) · Neural Networks · doi:10.1016/s0893-6080(02)00228-9 · Cited by 261
Morimoto, J., & Doya, K. (2005) · Neural Computation · doi:10.1162/0899766053011528 · Cited by 232
Metadata
- Authors
- Gullapalli, V.
- Venue
- Neural Networks
- Publisher
- Elsevier BV
- Published
- 1990-01
- Volume
- 3
- Issue
- 6
- Pages
- 671-692
- ISSN
- 0893-6080 (ISSN-L)
- OpenAlex
- W2080759927
- Cited by
- 295
- References
- 2
- FWCI
- 7.52
- 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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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.
