Mu Lab

Model Understanding / Multi-agent Reasoning / Modeling Uncertainty

This open-ended project is for focusing on advanced sports analytics. The goal of this project is to detect lines in the fields and create visualizations from a given American football game video, to determine team influence of player behavior, etc.

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The goal of this project was to implement tools to help automate assessment marking for CISC352.

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Converted an existing ABM system into an IABM then wrapped that into a web application.

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More Projects

AAAI 2022

ICAPS Journal Track (2022)

ICAPS 2022 System Demonstrations

ICAPS 2022 System Demonstrations
🏆   (2nd place)

More Publications

Prof. Christian Muise

Assistant Professor, Queen's University

Alison Paredes

PhD Student, Mu Lab

Brennan Cruse

PhD Student, Mu Lab / Aiim Lab

Nisha Simon

PhD Student, Mu Lab

Victoria Armstrong

PhD Student, Mu Lab

Bennet Montgomery

Master's Student, Mu Lab / QUARRG

Ella Morgan

Master's Student, Mu Lab

Mane Piliposyan

Master's Student, Mu Lab / Simpson Lab

Jarvis Xu

Master's Student, Mu Lab

Sana Arastehfar

Master's Student, Mu Lab / Queen's University Soccer Lab

Jagrit Rai

Undergrad Summer Research Student, Mu Lab / CSRL

Alice Petrov

Undergrad Thesis Student, Mu Lab

Ethan Callanan

Undergrad Summer Research Student, Mu Lab

Rebecca De Venezia

Undergrad Summer Research Student, Mu Lab

Jacob Laframboise

Undergrad Thesis Student, Mu Lab

Full team

Collection of capstone projects for final year CISC students

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None currently available.

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Dialogue Agents and Learning Constraints for SAT/CSPs

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