Monitoring and Intervening on Large Populations of Weakly Coupled Processes with Social Impact Applications

Andrew Perrault

doi:10.1609/aaai.v37i13.26817

Monitoring and Intervening on Large Populations of Weakly Coupled Processes with Social Impact Applications

Authors

Andrew Perrault The Ohio State University

DOI:

https://doi.org/10.1609/aaai.v37i13.26817

Keywords:

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Abstract

Many real-world sequential decision problems can be decomposed into processes with independent dynamics that are coupled via the action structure. We discuss recent work on such problems and future directions.

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Published

2023-09-06

How to Cite

Perrault, A. (2023). Monitoring and Intervening on Large Populations of Weakly Coupled Processes with Social Impact Applications. Proceedings of the AAAI Conference on Artificial Intelligence, 37(13), 15450-15450. https://doi.org/10.1609/aaai.v37i13.26817