Most AI models in public health focus on prediction. Reinforcement learning takes it a step further—it learns what actions to take and improves over time through feedback.
In this episode, we break down how reinforcement learning works, why it is a natural fit for public health decision-making, and how it is being applied to outbreak response, resource allocation, and personalized treatment strategies.
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