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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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2014-05 On Recurrent and Deep Neural Networks
2021-04 On quantifying the value of simulation for training and evaluating robotic agents
2024-08 On PI controllers for updating lagrange multipliers in constrained optimization
2020-08 On learning and generalization in unstructured taskspaces
2022-01 On iterated learning for task-oriented dialogue
2021-11 On inverse reinforcement learning and dynamic discrete choice for predicting path choices
2020-08 On improving variational inference with low-variance multi-sample estimators
2023-02 On impact of mixing times in continual reinforcement learning
2022-08 On discovering and learning structure under limited supervision
2018-04 On Deep Multiscale Recurrent Neural Networks
Number of results : 1189