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Learning One Representation to Optimize All Rewards


Mar 14, 2021
Ahmed Touati, Yann Ollivier


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Efficient Learning in Non-Stationary Linear Markov Decision Processes


Oct 24, 2020
Ahmed Touati, Pascal Vincent


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Maximum Reward Formulation In Reinforcement Learning


Oct 08, 2020
Sai Krishna Gottipati, Yashaswi Pathak, Rohan Nuttall, Sahir, Raviteja Chunduru, Ahmed Touati, Sriram Ganapathi Subramanian, Matthew E. Taylor, Sarath Chandar

* 13 pages, 5 figures 

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Sharp Analysis of Smoothed Bellman Error Embedding


Jul 07, 2020
Ahmed Touati, Pascal Vincent

* Accepted at the ICML 2020 Workshop on Theoretical Foundations of Reinforcement Learning 

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TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning?


Jul 06, 2020
Joshua Romoff, Peter Henderson, David Kanaa, Emmanuel Bengio, Ahmed Touati, Pierre-Luc Bacon, Joelle Pineau

* Presented at the Theoretical Foundations of Reinforcement Learning workshop at ICML 2020 

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Stable Policy Optimization via Off-Policy Divergence Regularization


Mar 09, 2020
Ahmed Touati, Amy Zhang, Joelle Pineau, Pascal Vincent


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Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces


Mar 09, 2020
Ahmed Touati, Adrien Ali Taiga, Marc G. Bellemare


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Stochastic Neural Network with Kronecker Flow


Jun 10, 2019
Chin-Wei Huang, Ahmed Touati, Pascal Vincent, Gintare Karolina Dziugaite, Alexandre Lacoste, Aaron Courville

* 18 pages 

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SVRG for Policy Evaluation with Fewer Gradient Evaluations


Jun 09, 2019
Zilun Peng, Ahmed Touati, Pascal Vincent, Doina Precup


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Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future


Mar 16, 2019
Nan Rosemary Ke, Amanpreet Singh, Ahmed Touati, Anirudh Goyal, Yoshua Bengio, Devi Parikh, Dhruv Batra

* To appear at ICLR 2019 

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Separating value functions across time-scales


Feb 08, 2019
Joshua Romoff, Peter Henderson, Ahmed Touati, Yann Ollivier, Emma Brunskill, Joelle Pineau


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Randomized Value Functions via Multiplicative Normalizing Flows


Oct 22, 2018
Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau, Pascal Vincent


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Convergent Tree Backup and Retrace with Function Approximation


Oct 22, 2018
Ahmed Touati, Pierre-Luc Bacon, Doina Precup, Pascal Vincent


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Parametric Adversarial Divergences are Good Task Losses for Generative Modeling


Jun 27, 2018
Gabriel Huang, Hugo Berard, Ahmed Touati, Gauthier Gidel, Pascal Vincent, Simon Lacoste-Julien

* 22 pages 

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Learnable Explicit Density for Continuous Latent Space and Variational Inference


Oct 06, 2017
Chin-Wei Huang, Ahmed Touati, Laurent Dinh, Michal Drozdzal, Mohammad Havaei, Laurent Charlin, Aaron Courville

* 2 figures, 5 pages, submitted to ICML Principled Approaches to Deep Learning workshop 

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