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Cited by 411

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Neuro-dynamic programming: an overview

Bertsekas, D.P., Tsitsiklis, J.N.·2002·Proceedings of 1995 34th IEEE Conference on Decision and Control

Abstract

We discuss a relatively new class of dynamic programming methods for control and sequential decision making under uncertainty. These methods have the potential of dealing with problems that for a long time were thought to be intractable due to either a large state space or the lack of an accurate model. The methods discussed combine ideas from the fields of neural networks, artificial intelligence, cognitive science, simulation, and approximation theory. We delineate the major conceptual issues, survey a number of recent developments, describe some computational experience, and address a number of open questions.

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Metadata

Authors
Bertsekas, D. P., & Tsitsiklis, J. N.
Venue
Proceedings of 1995 34th IEEE Conference on Decision and Control
Publisher
IEEE
Published
2002-11-19
Volume
1
Pages
560-564
ISSN
0191-2216 (ISSN-L)
OpenAlex
W1941445455
Cited by
411
References
13
FWCI
2.45
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Neuro-dynamic programming: an overview. https://app.cochat.ai/papers/10.1109/cdc.1995.478953
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Bertsekas, D. P., & Tsitsiklis, J. N. (2002). Neuro-dynamic programming: an overview. Proceedings of 1995 34th IEEE Conference on Decision and Control. https://doi.org/10.1109/cdc.1995.478953

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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.