Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms. - Aaron J. Snoswell; Surya P. N. Singh; Nan Ye (SSCI, 2020)

LiMIIRL: Lightweight Multiple-Intent Inverse Reinforcement Learning. - Aaron J. Snoswell; Surya P. N. Singh; Nan Ye (CoRR, 2021)

AI Opacity and Explainability in Tort Litigation. - Henry Fraser; Rhyle Simcock; Aaron J. Snoswell (FAccT, 2022)

Reward Reports for Reinforcement Learning. - Thomas Krendl Gilbert; Sarah Dean; Nathan Lambert 001; Tom Zick; Aaron J. Snoswell (CoRR, 2022)

Sociotechnical Specification for the Broader Impacts of Autonomous Vehicles. - Thomas Krendl Gilbert; Aaron J. Snoswell; Michael Dennis 001; Rowan McAllister; Cathy Wu 002 (CoRR, 2022)

Reward Reports for Reinforcement Learning. - Thomas Krendl Gilbert; Nathan Lambert 001; Sarah Dean; Tom Zick; Aaron J. Snoswell; Soham Mehta (AIES, 2023)

Measuring Misogyny in Natural Language Generation: Preliminary Results from a Case Study on two Reddit Communities. - Aaron J. Snoswell; Lucinda Nelson; Hao Xue 001; Flora D. Salim; Nicolas Suzor; Jean Burgess (CoRR, 2023)

Eliciting patient preferences and predicting behaviour using Inverse Reinforcement Learning for telehealth use in outpatient clinics. - Aaron J. Snoswell; Centaine L. Snoswell; Nan Ye (Frontiers Digit. Health, 2024)

Discerning What Matters: A Multi-Dimensional Assessment of Moral Competence in LLMs. - Daniel Kilov; Caroline Hendy; Secil Yanik Guyot; Aaron J. Snoswell; Seth Lazar (CoRR, 2025)