Deep Generative Modeling in Network Science with Applications to Public Policy Research

1 code implementation • 15 Oct 2020 • Gavin S. Hartnett, Raffaele Vardavas, Lawrence Baker, Michael Chaykowsky, C. Ben Gibson, Federico Girosi, David P. Kennedy, Osonde A. Osoba

We then review recent advances in applying deep learning to network data, and show how these methods may be used to address many of the methodological problems we identified.

A Generative Machine Learning Approach to Policy Optimization in Pursuit-Evasion Games

no code implementations • 4 Oct 2020 • Shiva Navabi, Osonde A. Osoba

We apply generative machine learning (ML) approaches to learn optimal action policies for Blue.

BIG-bench Machine Learning Decision Making

Policy-focused Agent-based Modeling using RL Behavioral Models

no code implementations • 9 Jun 2020 • Osonde A. Osoba, Raffaele Vardavas, Justin Grana, Rushil Zutshi, Amber Jaycocks

We test the hypothesis that RL agents are effective as utility-maximizing agents in policy ABMs.

Decision Making Reinforcement Learning (RL) +1