75 citations · 151 across the 28 of their papers we have counts for
4 papers · 1 filter
Explaining Conditions for Reinforcement Learning Behaviors from Real and Imagined Data
Aastha Acharya, Rebecca Russell, Nisar R. Ahmed
The deployment of reinforcement learning (RL) in the real world comes with challenges in calibrating user trust and expectations. As a step toward developing RL systems that are ab…
In Automation We Trust: Investigating the Role of Uncertainty in Active Learning Systems
Michael L. Iuzzolino, Tetsumichi Umada, Nisar R. Ahmed +1
We investigate how different active learning (AL) query policies coupled with classification uncertainty visualizations affect analyst trust in automated classification systems. A…
Factorized Machine Self-Confidence for Decision-Making Agents
Brett W Israelsen, Nisar R Ahmed, Eric Frew +2
Algorithmic assurances from advanced autonomous systems assist human users in understanding, trusting, and using such systems appropriately. Designing these systems with the capaci…
Adaptive Simulation-based Training of AI Decision-makers using Bayesian Optimization
Brett W. Israelsen, Nisar Ahmed, Kenneth Center +2
This work studies how an AI-controlled dog-fighting agent with tunable decision-making parameters can learn to optimize performance against an intelligent adversary, as measured by…