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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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