research
∙
05/10/2023
Flexible cost-penalized Bayesian model selection: developing inclusion paths with an application to diagnosis of heart disease
We propose a Bayesian model selection approach that allows medical pract...
share
research
∙
03/22/2022
BESSIE: A Behavior and Epidemic Simulator for Use With Synthetic Populations
In this paper, we present BESSIE (Behavior and Epidemic Simulator for Sy...
research
∙
07/31/2021
Inverse Reinforcement Learning for Strategy Identification
In adversarial environments, one side could gain an advantage by identif...
research
∙
07/02/2021
Empirically Measuring Transfer Distance for System Design and Operation
Classical machine learning approaches are sensitive to non-stationarity....
research
∙
07/24/2020
Value-Decomposition Multi-Agent Actor-Critics
The exploitation of extra state information has been an active research ...
research
∙
06/09/2020
An Ontological Metamodel for Cyber-Physical System Safety, Security, and Resilience Coengineering
System complexity has become ubiquitous in the design, assessment, and i...
research
∙
04/01/2020
Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication
We consider a fully cooperative multi-agent system where agents cooperat...
research
∙
05/14/2018
