89 citations · 107 across the 8 of their papers we have counts for
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cs.LG2020★ 2 cited
Deep Generative Modeling in Network Science with Applications to Public Policy Research
Gavin S. Hartnett, Raffaele Vardavas, Lawrence Baker +5
Network data is increasingly being used in quantitative, data-driven public policy research. These are typically very rich datasets that contain complex correlations and inter-depe…
cs.LG2020
Policy-focused Agent-based Modeling using RL Behavioral Models
Osonde A. Osoba, Raffaele Vardavas, Justin Grana +2
Agent-based Models (ABMs) are valuable tools for policy analysis. ABMs help analysts explore the emergent consequences of policy interventions in multi-agent decision-making settin…