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2024 AAAI AAAI 2024

Navigating Uncertainty in Epidemic Contexts with Reinforcement Learning

Abstract

Abstract 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.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Reinforcement Learning

Authors

Elizabeth Akinyi Ondula

Topics

Artificial Intelligence > Core AI > Agent Systems Reinforcement Learning > Methods > Policy Learning Machine Learning > Learning Types > Multi-Armed Bandits Artificial Intelligence > Core AI > Reinforcement Learning Artificial Intelligence > Core AI > Decision Making

Keywords

reinforcement learning policy optimization uncertainty quantification stochastic control epidemic modeling epidemic control stochastic epidemic model outbreak dynamics operational decision
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