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Cited by 592

The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.

Discrete-Time Controlled Markov Processes with Average Cost Criterion: A Survey

Arapostathis, Aristotle, Borkar, Vivek S., Fernández-Gaucherand, Emmanuel, Ghosh, Mrinal K., Marcus, Steven I.·1993·SIAM Journal on Control and Optimization

Abstract

This work is a survey of the average cost control problem for discrete-time Markov processes. The authors have attempted to put together a comprehensive account of the considerable research on this problem over the past three decades. The exposition ranges from finite to Borel state and action spaces and includes a variety of methodologies to find and characterize optimal policies. The authors have included a brief historical perspective of the research efforts in this area and have compiled a substantial yet not exhaustive bibliography. The authors have also identified several important questions that are still open to investigation.

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Crossref · 10.1137/0331018

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Metadata

Authors
Arapostathis, A., Borkar, V. S., Fernández-Gaucherand, E., Ghosh, M. K., & Marcus, S. I.
Venue
SIAM Journal on Control and Optimization
Published
1993-03
Volume
31
Issue
2
Pages
282-344
ISSN
  • 0363-0129 (ISSN-L)
  • 1095-7138
OpenAlex
W1967037758
Cited by
592
References
51
FWCI
12.04
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Discrete-Time Controlled Markov Processes with Average Cost Criterion: A Survey. https://app.cochat.ai/papers/10.1137/0331018
The paper
Arapostathis, A., Borkar, V. S., Fernández-Gaucherand, E., Ghosh, M. K., & Marcus, S. I. (1993). Discrete-Time Controlled Markov Processes with Average Cost Criterion: A Survey. SIAM Journal on Control and Optimization. https://doi.org/10.1137/0331018

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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.