Faraz Dadgostari

According to our database, Faraz Dadgostari authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Active Sensing for Epidemic State Estimation Using ABM-Guided Machine Learning.

Sami Saliba, Faraz Dadgostari, Stefan Hoops, Henning S. Mortveit, Samarth Swarup

Proceedings of the Multi-Agent-Based Simulation XXIV - 24th International Workshop, 2023

2022

BESSIE: A Behavior and Epidemic Simulator for Use With Synthetic Populations.

Henning S. Mortveit, Stephen C. Adams, Faraz Dadgostari, Samarth Swarup, Peter A. Beling

CoRR, 2022

Identifying Correlates of Emergent Behaviors in Agent-Based Simulation Models Using Inverse Reinforcement Learning.

Faraz Dadgostari, Samarth Swarup, Stephen C. Adams, Peter A. Beling, Henning S. Mortveit

Proceedings of the Winter Simulation Conference, 2022

2021

Modeling law search as prediction.

Faraz Dadgostari, Mauricio Guim, Peter A. Beling, Michael A. Livermore, Daniel N. Rockmore

Artif. Intell. Law, 2021

Correction to: Modeling law search as prediction.

Faraz Dadgostari, Mauricio Guim, Peter A. Beling, Michael A. Livermore, Daniel N. Rockmore

Artif. Intell. Law, 2021

2020

Early Outbreak Detection for Proactive Crisis Management Using Twitter Data: COVID-19 a Case Study in the US.

Erfaneh Gharavi, Neda Nazemi, Faraz Dadgostari

CoRR, 2020

Reinforcement Learning from Simulated Environments: An Encoder Decoder Framework.

Benjamin Choo, Graham Crannell, Stephen C. Adams, Faraz Dadgostari, Peter A. Beling, Ann Bolcavage, Roy McIntyre

Proceedings of the Spring Simulation Conference, 2020