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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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2024 Domain adaptation in reinforcement learning via causal representation learning
2022 Stabilizing Q-Learning for continuous control
2024 Parameter, experience, and compute efficient deep reinforcement learning
2018 Estimation of Noisy Cost Functions by Conventional and Adjusted Simulated Annealing Techniques
2017 Évaluation de politiques de séquençage d'arrivées d'avions par Simulation Monte Carlo
2012 Revisiting optimization algorithms for maximum likelihood estimation
2012 A dynamic sequential route choice model for micro-simulation
2022 Measuring RocksDB performance and adaptive sampling for model estimation
2020 Leveraging deep reinforcement learning in the smart grid environment
2016 Development of new scenario decomposition techniques for linear and nonlinear stochastic programming
Number of results : 1601