Aaron Snoswell
I am a research fellow in computational law at the ADM+S Center and a final-year PhD student at UQ. With a background in cross-disciplinary mechatronic engineering, my Ph.D. research develops new theory and algorithms for Inverse Reinforcement Learning in the maximum conditional entropy and multiple intent settings. My ongoing work investigates technical measures for achieving value alignment for autonomous decision making systems, and legal-theoretic models for AI accountability.
Selected Publications
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Lightweight Multiple-Intent Inverse Reinforcement Learning
Aaron J. Snoswell, Surya P. N. Singh, Nan Ye
Under review.
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Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms
Aaron J. Snoswell, Surya P. N. Singh, Nan Ye
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 241-249
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A Reduced-Order Approach to Assist with Reinforcement Learning for Underactuated Robotics
Jérémy Augot, Aaron J. Snoswell, Surya P. N. Singh
2020 Australasian Conference on Robotics and Automation
[google scholar] [direct link]
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Motion Capture Quantification of User Variation in Topical Microparticle Application
Aaron J. Snoswell, Miko Yamada, Giles T. S. Kirby, Surya P, N, Singh, Tarl W. Prow
Frontiers in Pharmacology: Experimental Pharmacology and Drug Discovery
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Immersive Virtual Reality in Health Care: Systematic Review of Technology and Disease States
Aaron J. Snoswell, Centaine L. Snoswell
Journal of Medical Internet Research (JMIR) BioMedical Engineering
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A distributed, any-time robot architecture for robust manipulation
Aaron J. Snoswell, Vektor Dewanto, Marcus Hoerger, Joshua Song, Hanna Kurniawati, Surya P.N. Singh
The 2018 Australasian Conference on Robotics and Automation (ACRA)
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On the Use of Reinforcement Learning for Testing Game Mechanics
Aaron J. Snoswell, Centaine L. Snoswell
ACM Computers in Entertainment (CIE)
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Light Field De-blurring for Robotics Applications
Aaron Snoswell, Surya P.N. Singh
The 2014 Australasian Conference on Robotics and Automation (ACRA)
Presentations
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At the 2019 Successes and Failures in Telehealth Conference (SFT-19) at The Gold Coast, Australia my work will be presented as a poster titled Eliciting Telehealth Preferences Using Inverse Reinforcement Learning: A Preliminary Investigation for an Immunology Outpatient Clinic.
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At the 2019 Institute for Operations Research and the Management Sciences Applied Probability and Statistics Conference (INFORMS-APS) in Brisbane, Australia I gave a talk titled Maximum Entropy Approaches for Inverse Reinforcement Learning.
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At the 2018 Australasian Conference on Robotics and Automation (ACRA) in Canterbury, New Zealand I presented the conference paper A distributed, any-time robot architecture for robust manipulation.
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At the 2018 International Conference on Robotics and Automation (ICRA) in Brisbane, Australia I was part of the Kinova Robotics booth, showing off their MOVO mobile manipulator robot.
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At the 2017 International Astronautical Congress (IAC) in Adelaide, Australia I was part of the Boeing exhibit demonstrating a Virtual Reality simulator for Astronaut training on the Boeing Starliner spacecraft. A video and some press coverage can be seen here.
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At the 2016 Pacific and Australasian CRM Developers’ and Facilitators’ Forum (PACDEFF) in Adelaide, Australia I gave an invited oral presentation titled Flight crew training in virtual reality. Slides are available here.
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At the 2016 Boeing Advanced Visualisation and Data Analytics Conference (AVDATTS) in Seattle, USA I presented a interactive poster session titled A virtual reality training demonstrator along with Leighton Carr.
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At the 2012 WebDirections “What do you know?” Web Development Symposium in Brisbane, Australia I gave a short talk titled RECanvas: An interactive online prototyping tool demonstrating one of the first web-app implementations of Brett Victor’s Explorable Explanations concept. GitHub project for the original code is here.
Teaching
- STAT4402: Advanced Statistics II: Special Topics in Deep Learning (2019) - Teaching Assistant
- COMP3710: Pattern Recognition and Analysis (2019) - Teaching Assistant
- COMP4702: Machine Learning (2019) - Teaching Assistant
- ELEC3004: Signals, Systems and Controls (2019) - Teaching Assistant
- UQ School of ITEE IT Learning Centre Tutor (2018) - Provided central tutoring support for a wide range of Engineering subjects
- MATH1051: Calculus & Linear Algebra I (2018) - Tutored Matlab programming sessions
- METR4200: Robotics & Automation (2013, 2018) - Tutored labs, team projects and developed some computer vision tutorials
- MATH1050: Mathematical Foundations (c. 2010) - Tutored contact sessions
- PHYS1002: Electromagnetism and Modern Physics (c. 2010) - Tutored practical lab sessions