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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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2022-12 Stabilizing Q-Learning for continuous control
2024-08 Parameter, experience, and compute efficient deep reinforcement learning
2021-08 Parsimonious reasoning in reinforcement learning for better credit assignment
2021-08 Steepest descent as Linear Quadratic Regulation
2021-08 Learning neural ordinary differential equations for optimal control
2023-04 Model-based hyperparameter optimization
2022-12 Accelerated algorithms for temporal difference learning methods
2024-01 Beyond the horizon : improved long-range sequence modeling, from dynamical systems to language
2022-08 Sample efficient reinforcement learning for biological sequence design
2024-07 Domain adaptation in reinforcement learning via causal representation learning
1996 Spécification formelle de systèmes d'information interactifs par la technique des scénarios
2002 Resource Warehouses : a distributed information management infrastructure
2002 Network information discovery and structural optimization in the WOS's context by using distributed algorithms
2024-01 The role of continual learning and adaptive computation in improving computational efficiency of deep learning
2023-08 Towards adaptive deep model-based reinforcement learning
2022-07 Benchmarking bias mitigation algorithms in representation learning through fairness metrics
2021-07 PatchUp : a feature-space block-level regularization technique for convolutional neural networks
2021-05 IIRC : Incremental Implicitly-Refined Classification
2006 An intelligent help system to support teachers to author learning sessions in decision-making in network design
2017-12 Caractérisation et étude de l’impact des permissions dans les applications mobiles