Explaining Conditions for Reinforcement Learning Behaviors from Real and Imagined Data. - Aastha Acharya; Rebecca L. Russell; Nisar R. Ahmed (CoRR, 2020)

Competency Assessment for Autonomous Agents using Deep Generative Models. - Aastha Acharya; Rebecca L. Russell; Nisar R. Ahmed (IROS, 2022)

Uncertainty Quantification for Competency Assessment of Autonomous Agents. - Aastha Acharya; Rebecca L. Russell; Nisar R. Ahmed (CoRR, 2022)

Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon Trajectories. - Aastha Acharya; Rebecca L. Russell; Nisar R. Ahmed (ICRA, 2023)

AAAI 2022 Fall Symposium: Lessons Learned for Autonomous Assessment of Machine Abilities (LLAAMA). - Nicholas Conlon; Aastha Acharya; Nisar R. Ahmed (CoRR, 2023)

Deep Modeling of Non-Gaussian Aleatoric Uncertainty. - Aastha Acharya; Caleb Lee; Marissa D'Alonzo; Jared Shamwell; Nisar R. Ahmed; Rebecca L. Russell (IEEE Robotics Autom. Lett., 2025)