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

AAAI 2023 pp. 15450

doi:10.1609/AAAI.V37I13.26817 /aaai/2023/perrault2023aaai-monitoring/

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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Cite

Text

Perrault. "Monitoring and Intervening on Large Populations of Weakly Coupled Processes with Social Impact Applications." AAAI Conference on Artificial Intelligence, 2023. doi:10.1609/AAAI.V37I13.26817

Markdown

[Perrault. "Monitoring and Intervening on Large Populations of Weakly Coupled Processes with Social Impact Applications." AAAI Conference on Artificial Intelligence, 2023.](https://mlanthology.org/aaai/2023/perrault2023aaai-monitoring/) doi:10.1609/AAAI.V37I13.26817

BibTeX

@inproceedings{perrault2023aaai-monitoring,
  title     = {{Monitoring and Intervening on Large Populations of Weakly Coupled Processes with Social Impact Applications}},
  author    = {Perrault, Andrew},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {15450},
  doi       = {10.1609/AAAI.V37I13.26817},
  url       = {https://mlanthology.org/aaai/2023/perrault2023aaai-monitoring/}
}