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Victoria Armstrong

PhD Student, Mu Lab

Interests

  • FOND Planning
  • Execution Monitoring
  • Natural Language Processing

Education

  • BComp, Specialization in Cognitive Science, 2020

    Queen's University

  • MSc in Computer Science, 2022

    Queen's University

Projects

  • Discrete Timeseries Analysis

Biography

I’m a second year PhD student at Queen’s University, where I previously graduated with both an Honours Bachelor of Computer Science and a Master’s in Computer Science with a Field of Study in AI. My research lies within the intersection automated planning and natural language processing, where I am studying dialogue agents and their ability (or lack thereof) to handle additional context in conversation. I’m a head teaching assistant within the School of Computing, as well as the President of the Queen’s Graduate Computing Society.

Pronouns: she/her/hers

Recent Publications

  • Evaluating GPT-4’s Ability to Identify Additional Context (Student Abstract). CCECE Student Poster
  • The Generalizability of FOND Solutions in Uncertain Environments. IntEx
  • MACQ: A Unified Library for Action Model Acquisition. ICAPS 2022 System Demonstrations
  • MACQ: A Unified Library for Action Model Acquisition. KEPS (2022)
  • Towards Physiologically-Responsive Interactive Garments with Machine Learning Techniques. MSc Thesis

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