The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
A survey of algorithmic methods for partially observed Markov decision processes
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Citations
Cites
Rockafellar, R. T. (1970) · Princeton University Press eBooks · doi:10.1515/9781400873173 · Cited by 10,801
Optimal Statistical Decisions.
Siegmund, D., & DeGroot, M. H. (1972) · Journal of the American Statistical Association · doi:10.2307/2284675 · Cited by 3,386
Optimal Statistical Decisions.
Lindley, D. V., & de Groot, M. (1971) · Applied Statistics · doi:10.2307/2346640 · Cited by 1,802
The Optimal Control of Partially Observable Markov Processes over a Finite Horizon
Smallwood, R. D., & Sondik, E. J. (1973) · Operations Research · doi:10.1287/opre.21.5.1071 · Cited by 1,479
Discounted Dynamic Programming
Blackwell, D. (1965) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177700285 · Cited by 918
Iosifescu, M., & Howard, R. A. (1972) · International Statistical Review · doi:10.2307/1402771 · Cited by 897
Optimal control of Markov processes with incomplete state information
Åström, K. J. (1965) · Journal of Mathematical Analysis and Applications · doi:10.1016/0022-247x(65)90154-x · Cited by 854
Monahan, G. E. (1982) · Management Science · doi:10.1287/mnsc.28.1.1 · Cited by 745
Sondik, E. J. (1978) · Operations Research · doi:10.1287/opre.26.2.282 · Cited by 536
The optimal control of partially observable Markov processes
Sondik, E. J. (1971) · Defense Technical Information Center (DTIC) · Cited by 440
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
Planning and acting in partially observable stochastic domains
Kaelbling, L. P., Littman, M. L., & Cassandra, A. R. (1998) · Artificial Intelligence · doi:10.1016/s0004-3702(98)00023-x · Cited by 4,149
Artificial Intelligence: A New Synthesis
(1998) · Elsevier eBooks · doi:10.1016/c2009-0-27773-7 · Cited by 1,163
Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges
Ojha, T., Misra, S., & Raghuwanshi, N. S. (2015) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2015.08.011 · Cited by 894
Acting under uncertainty: discrete Bayesian models for mobile-robot navigation
Cassandra, A. R., Kaelbling, L. P., & Kurien, J. A. (2002) · Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96 · doi:10.1109/iros.1996.571080 · Cited by 462
Metadata
- Authors
- Lovejoy, W. S.
- Venue
- Annals of Operations Research
- Published
- 1991-12
- Volume
- 28
- Issue
- 1
- Pages
- 47-65
- ISSN
- 0254-5330 (ISSN-L)
- 1572-9338
- OpenAlex
- W2065087844
- Cited by
- 532
- References
- 19
- FWCI
- 3.77
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: A survey of algorithmic methods for partially observed Markov decision processes. https://app.cochat.ai/papers/10.1007/bf02055574
- The paper
- Lovejoy, W. S. (1991). A survey of algorithmic methods for partially observed Markov decision processes. Annals of Operations Research. https://doi.org/10.1007/bf02055574
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.
