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

  • Paper image Lightweight Multiple-Intent Inverse Reinforcement Learning

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

    Under review.

    [google scholar] [direct link]

  • Paper image 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]

  • Paper image 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]

  • Paper image 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]

  • Paper image 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]

  • Paper image 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]

  • Paper image 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]

  • Paper image 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

Teaching