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cs.LG2022
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning
Mathieu Reymond, Conor F. Hayes, Lander Willem +8
Infectious disease outbreaks can have a disruptive impact on public health and societal processes. As decision making in the context of epidemic mitigation is hard, reinforcement l…
stat.ME2022★ 16 cited
A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks
Pavel N. Krivitsky, Pietro Coletti, Niel Hens
The last two decades have seen considerable progress in foundational aspects of statistical network analysis, but the path from theory to application is not straightforward. Two la…