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ORCIDAaron J. Snoswell
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2020 – today
- 2023
[c3]Thomas Krendl Gilbert
, Nathan Lambert, Sarah Dean, Tom Zick, Aaron J. Snoswell, Soham Mehta:
Reward Reports for Reinforcement Learning. AIES 2023: 84-130- [i5]Aaron J. Snoswell, Lucinda Nelson, Hao Xue, Flora D. Salim, Nicolas Suzor, Jean Burgess:
Measuring Misogyny in Natural Language Generation: Preliminary Results from a Case Study on two Reddit Communities. CoRR abs/2312.03330 (2023) - 2022
- [c2]Henry Fraser, Rhyle Simcock, Aaron J. Snoswell:
AI Opacity and Explainability in Tort Litigation. FAccT 2022: 185-196 - [i4]Thomas Krendl Gilbert, Sarah Dean, Nathan Lambert, Tom Zick, Aaron J. Snoswell:
Reward Reports for Reinforcement Learning. CoRR abs/2204.10817 (2022) - [i3]Thomas Krendl Gilbert, Aaron J. Snoswell, Michael Dennis, Rowan McAllister, Cathy Wu:
Sociotechnical Specification for the Broader Impacts of Autonomous Vehicles. CoRR abs/2205.07395 (2022) - 2021
- [i2]Aaron J. Snoswell, Surya P. N. Singh, Nan Ye:
LiMIIRL: Lightweight Multiple-Intent Inverse Reinforcement Learning. CoRR abs/2106.01777 (2021) - 2020
- [c1]Aaron J. Snoswell, Surya P. N. Singh, Nan Ye:
Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms. SSCI 2020: 241-249 - [i1]Aaron J. Snoswell, Surya P. N. Singh, Nan Ye:
Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms. CoRR abs/2012.00889 (2020)
Coauthor Index
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