Navigating Uncertainty in Epidemic Contexts with Reinforcement Learning
DOI:
https://doi.org/10.1609/aaai.v38i21.30404Keywords:
APP: Other Applications, ML: Reinforcement Learning, RU: Sequential Decision Making, RU: Applications, PEAI: Societal Impact Of AIAbstract
My research integrates stochastic epidemic models with reinforcement learning to develop effective strategies or policies to inform operational decisions. The objective is to refine policies that are attuned to diverse outbreak dynamics and to offer a tool for informed planning in real-world settings.
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Published
2024-03-24
How to Cite
Ondula, E. A. (2024). Navigating Uncertainty in Epidemic Contexts with Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence, 38(21), 23407-23408. https://doi.org/10.1609/aaai.v38i21.30404
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Section
AAAI Doctoral Consortium Track
