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

Lightweight Multiple-Intent Inverse Reinforcement Learning

Aaron J. Snoswell, Surya P. N. Singh, Nan Ye

Under review.

[google scholar] [direct link]
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

[google scholar] [direct link]
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]
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

[google scholar] [direct link]
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

[google scholar] [direct link]
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)

[google scholar] [direct link]
On the Use of Reinforcement Learning for Testing Game Mechanics

Aaron J. Snoswell, Centaine L. Snoswell

ACM Computers in Entertainment (CIE)

[google scholar] [direct link]
Light Field De-blurring for Robotics Applications

Aaron Snoswell, Surya P.N. Singh

The 2014 Australasian Conference on Robotics and Automation (ACRA)

[google scholar] [direct link]

Presentations

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.
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.
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.
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.
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.
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.
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.
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