Abstract
The systems under consideration in (discrete-time) sequential decision problems in operations research and the management sciences often do not have a predetermined time of extinction. Incorporating an arbitrary finite horizon can therefore introduce end-of-study distortions in early decisions. Such problems are therefore typically modeled over an unbounded horizon. A majority of the work in this area focuses on stationary models, which assume that the problem data do not change over time. There is also a considerable body of research on nonstationary problems. We briefly review some of the key concepts in nonstationary infinite horizon sequential decision making problems.
| Original language | English (US) |
|---|---|
| Title of host publication | Wiley Encyclopedia of Operations Research and Management Science |
| Publisher | Wiley |
| Pages | 1-8 |
| Number of pages | 8 |
| ISBN (Electronic) | 9780470400531 |
| ISBN (Print) | 9780470400630 |
| DOIs | |
| State | Published - Jan 1 2010 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2010 John Wiley & Sons, Inc. All rights reserved.
Keywords
- closed-form formulas
- forecast horizon
- nonstationary infinite horizon
- policy monotonicity
- stationary infinite horizon
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