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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We fully discretize DreamerV2 and evaluate the discrete representation learned by the model.

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Various model-based methods for extracting interpretable insights from discrete time series.

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Prof. Christian Muise

Assistant Professor, Queen's University

Alison Paredes

PhD Student, Mu Lab

Nisha Simon

PhD Student, Mu Lab

Bennet Montgomery

Master's Student, Mu Lab

Brennan Cruse

Master's Student, Mu Lab

Ella Morgan

Master's Student, Mu Lab

Victoria Armstrong

Master's Student, Mu Lab / Interioraction Design Studio

Jarvis Xu

Master's Student, Mu Lab

Natalie Nova

Undergrad Summer Research Student, Mu Lab

Alice Petrov

Undergrad Thesis Student, Mu Lab

Rebecca De Venezia

Undergrad Student, Mu Lab

Aubrey Mcleod

Undergrad Student, Mu Lab

Erin Atacan

Undergrad Student, Mu Lab / Smith School of Business

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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