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Representing and Solving Decision Problems with Limited Information
Abstract
We introduce the notion of LImited Memory Influence Diagram (LIMID) to describe multistage decision problems in which the traditional assumption of no forgetting is relaxed. This can be relevant in situations with multiple decision makers or when decisions must be prescribed under memory constraints, such as in partially observed Markov decision processes (POMDPs). We give an algorithm for improving any given strategy by local computation of single policy updates and investigate conditions for the resulting strategy to be optimal.
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Cited by
Influence Diagrams for Causal Modelling and Inference
Dawid, A. P. (2002) · International Statistical Review · doi:10.1111/j.1751-5823.2002.tb00354.x · Cited by 230
Everitt, T., Hutter, M., Kumar, R., & Krakovna, V. (2021) · Synthese · doi:10.1007/s11229-021-03141-4 · Cited by 80
Reasoning about causality in games
Hammond, L., Fox, J., Everitt, T., Carey, R., Abate, A., & Wooldridge, M. (2023) · Artificial Intelligence · doi:10.1016/j.artint.2023.103919 · Cited by 13
Metadata
- Authors
- Lauritzen, S. L., & Nilsson, D.
- Venue
- Management Science
- Published
- 2001-09
- Volume
- 47
- Issue
- 9
- Pages
- 1235-1251
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W2144349330
- Cited by
- 199
- References
- 0
- FWCI
- 8.26
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lauritzen, S. L., & Nilsson, D. (2001). Representing and Solving Decision Problems with Limited Information. Management Science. https://doi.org/10.1287/mnsc.47.9.1235.9779
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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).
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