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Thèses et mémoires

Des thèses et mémoires de nos étudiants sont conservés et consultables dans Papyrus, le dépôt institutionnel de l'Université de Montréal.

 

 

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2022 On discovering and learning structure under limited supervision
2023 On impact of mixing times in continual reinforcement learning
2020 On improving variational inference with low-variance multi-sample estimators
2021 On inverse reinforcement learning and dynamic discrete choice for predicting path choices
2022 On iterated learning for task-oriented dialogue
2020 On learning and generalization in unstructured taskspaces
2024 On PI controllers for updating lagrange multipliers in constrained optimization
2021 On quantifying the value of simulation for training and evaluating robotic agents
2014 On Recurrent and Deep Neural Networks
2021 On representation learning for generative models of text
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