Ahmed Touati

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 35

Top Topics

Temporal Difference

Markov Decision Processes

Reinforcement Learning

Top Venues

Publications

Matteo Pirotta, Andrea Tirinzoni, Ahmed Touati, Alessandro Lazaric, Yann Ollivier
Fast Imitation via Behavior Foundation Models. ICLR (2024)
Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum
Score Models for Offline Goal-Conditioned Reinforcement Learning. ICLR (2024)
Edoardo Cetin, Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric, Yann Ollivier, Ahmed Touati
Simple Ingredients for Offline Reinforcement Learning. CoRR (2024)
Ahmed Touati, Jérémy Rapin, Yann Ollivier
Does Zero-Shot Reinforcement Learning Exist? ICLR (2023)
Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum
Score Models for Offline Goal-Conditioned Reinforcement Learning. CoRR (2023)
Ted Moskovitz, Samo Hromadka, Ahmed Touati, Diana Borsa, Maneesh Sahani
A State Representation for Diminishing Rewards. NeurIPS (2023)
Ted Moskovitz, Samo Hromadka, Ahmed Touati, Diana Borsa, Maneesh Sahani
A State Representation for Diminishing Rewards. CoRR (2023)
Andrea Tirinzoni, Matteo Papini, Ahmed Touati, Alessandro Lazaric, Matteo Pirotta
Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees. NeurIPS (2022)
Ahmed Touati, Jérémy Rapin, Yann Ollivier
Does Zero-Shot Reinforcement Learning Exist? CoRR (2022)
Andrea Tirinzoni, Matteo Papini, Ahmed Touati, Alessandro Lazaric, Matteo Pirotta
Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees. CoRR (2022)
Ahmed Touati, Yann Ollivier
Learning One Representation to Optimize All Rewards. CoRR (2021)
Ahmed Touati, Yann Ollivier
Learning One Representation to Optimize All Rewards. NeurIPS (2021)
Joshua Romoff, Peter Henderson, David Kanaa, Emmanuel Bengio, Ahmed Touati, Pierre-Luc Bacon, Joelle Pineau
TDprop: Does Adaptive Optimization With Jacobi Preconditioning Help Temporal Difference Learning? AAMAS (2021)
Zilun Peng, Ahmed Touati, Pascal Vincent, Doina Precup
SVRG for Policy Evaluation with Fewer Gradient Evaluations. IJCAI (2020)
Ahmed Touati, Amy Zhang, Joelle Pineau, Pascal Vincent
Stable Policy Optimization via Off-Policy Divergence Regularization. UAI (2020)
Chin-Wei Huang, Ahmed Touati, Pascal Vincent, Gintare Karolina Dziugaite, Alexandre Lacoste, Aaron C. Courville
Stochastic Neural Network with Kronecker Flow. AISTATS (2020)
Ahmed Touati, Adrien Ali Taïga, Marc G. Bellemare
Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces. CoRR (2020)
Ahmed Touati, Pascal Vincent
Sharp Analysis of Smoothed Bellman Error Embedding. CoRR (2020)
Ahmed Touati, Pascal Vincent
Efficient Learning in Non-Stationary Linear Markov Decision Processes. CoRR (2020)
Sai Krishna Gottipati, Yashaswi Pathak, Rohan Nuttall, Sahir, Raviteja Chunduru, Ahmed Touati, Sriram Ganapathi Subramanian, Matthew E. Taylor, Sarath Chandar
Maximum Reward Formulation In Reinforcement Learning. CoRR (2020)
Joshua Romoff, Peter Henderson, David Kanaa, Emmanuel Bengio, Ahmed Touati, Pierre-Luc Bacon, Joelle Pineau
TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning? CoRR (2020)
Ahmed Touati, Amy Zhang, Joelle Pineau, Pascal Vincent
Stable Policy Optimization via Off-Policy Divergence Regularization. CoRR (2020)
Nan Rosemary Ke, Amanpreet Singh, Ahmed Touati, Anirudh Goyal, Yoshua Bengio, Devi Parikh, Dhruv Batra
Modeling the Long Term Future in Model-Based Reinforcement Learning. ICLR (Poster) (2019)
Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau, Pascal Vincent
Randomized Value Functions via Multiplicative Normalizing Flows. UAI (2019)
Chin-Wei Huang, Ahmed Touati, Pascal Vincent, Gintare Karolina Dziugaite, Alexandre Lacoste, Aaron C. Courville
Stochastic Neural Network with Kronecker Flow. CoRR (2019)
Zilun Peng, Ahmed Touati, Pascal Vincent, Doina Precup
SVRG for Policy Evaluation with Fewer Gradient Evaluations. CoRR (2019)
Nan Rosemary Ke, Amanpreet Singh, Ahmed Touati, Anirudh Goyal, Yoshua Bengio, Devi Parikh, Dhruv Batra
Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future. CoRR (2019)
Joshua Romoff, Peter Henderson, Ahmed Touati, Yann Ollivier, Emma Brunskill, Joelle Pineau
Separating value functions across time-scales. CoRR (2019)
Joshua Romoff, Peter Henderson, Ahmed Touati, Yann Ollivier, Joelle Pineau, Emma Brunskill
Separable value functions across time-scales. ICML (2019)
Gabriel Huang, Hugo Berard, Ahmed Touati, Gauthier Gidel, Pascal Vincent, Simon Lacoste-Julien
Parametric Adversarial Divergences are Good Task Losses for Generative Modeling. ICLR (Workshop) (2018)
Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau, Pascal Vincent
Randomized Value Functions via Multiplicative Normalizing Flows. CoRR (2018)
Ahmed Touati, Pierre-Luc Bacon, Doina Precup, Pascal Vincent
Convergent TREE BACKUP and RETRACE with Function Approximation. ICML (2018)
Chin-Wei Huang, Ahmed Touati, Laurent Dinh, Michal Drozdzal, Mohammad Havaei, Laurent Charlin, Aaron C. Courville
Learnable Explicit Density for Continuous Latent Space and Variational Inference. CoRR (2017)
Ahmed Touati, Pierre-Luc Bacon, Doina Precup, Pascal Vincent
Convergent Tree-Backup and Retrace with Function Approximation. CoRR (2017)
Gabriel Huang, Gauthier Gidel, Hugo Berard, Ahmed Touati, Simon Lacoste-Julien
Adversarial Divergences are Good Task Losses for Generative Modeling. CoRR (2017)
Jerome Le Ny, Ahmed Touati, George J. Pappas
Real-time privacy-preserving model-based estimation of traffic flows. ICCPS (2014)