Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025
A Framework for Adversarial Analysis of Decision Support Systems Prior to Deployment
Brett Bissey, Kyle Gatesman, Walker Dimon +3
This paper introduces a comprehensive framework designed to analyze and secure decision-support systems trained with Deep Reinforcement Learning (DRL), prior to deployment, by prov…
cs.LG2023
Utilizing Explainability Techniques for Reinforcement Learning Model Assurance
Alexander Tapley, Kyle Gatesman, Luis Robaina +2
Explainable Reinforcement Learning (XRL) can provide transparency into the decision-making process of a Deep Reinforcement Learning (DRL) model and increase user trust and adoption…