Real-time privacy-preserving model-based estimation of traffic flows. - Jerome Le Ny; Ahmed Touati; George J. Pappas (ICCPS, 2014)

Adversarial Divergences are Good Task Losses for Generative Modeling. - Gabriel Huang; Gauthier Gidel; Hugo Berard; Ahmed Touati; Simon Lacoste-Julien (CoRR, 2017)

Learnable Explicit Density for Continuous Latent Space and Variational Inference. - Chin-Wei Huang; Ahmed Touati; Laurent Dinh; Michal Drozdzal; Mohammad Havaei; Laurent Charlin; Aaron C. Courville (CoRR, 2017)

Parametric Adversarial Divergences are Good Task Losses for Generative Modeling. - Gabriel Huang; Hugo Berard; Ahmed Touati; Gauthier Gidel; Pascal Vincent; Simon Lacoste-Julien (ICLR (Workshop), 2018)

Convergent TREE BACKUP and RETRACE with Function Approximation. - Ahmed Touati; Pierre-Luc Bacon; Doina Precup; Pascal Vincent (ICML, 2018)

Modeling the Long Term Future in Model-Based Reinforcement Learning. - Nan Rosemary Ke; Amanpreet Singh; Ahmed Touati; Anirudh Goyal; Yoshua Bengio; Devi Parikh; Dhruv Batra (ICLR (Poster), 2019)

Separable value functions across time-scales. - Joshua Romoff; Peter Henderson 002; Ahmed Touati; Yann Ollivier; Joelle Pineau; Emma Brunskill (ICML, 2019)

Randomized Value Functions via Multiplicative Normalizing Flows. - Ahmed Touati; Harsh Satija; Joshua Romoff; Joelle Pineau; Pascal Vincent (UAI, 2019)

Separating value functions across time-scales. - Joshua Romoff; Peter Henderson 002; Ahmed Touati; Yann Ollivier; Emma Brunskill; Joelle Pineau (CoRR, 2019)

Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future. - Nan Rosemary Ke; Amanpreet Singh; Ahmed Touati; Anirudh Goyal; Yoshua Bengio; Devi Parikh; Dhruv Batra (CoRR, 2019)

Stochastic Neural Network with Kronecker Flow. - Chin-Wei Huang; Ahmed Touati; Pascal Vincent; Gintare Karolina Dziugaite; Alexandre Lacoste; Aaron C. Courville (AISTATS, 2020)

SVRG for Policy Evaluation with Fewer Gradient Evaluations. - Zilun Peng; Ahmed Touati; Pascal Vincent; Doina Precup (IJCAI, 2020)

Stable Policy Optimization via Off-Policy Divergence Regularization. - Ahmed Touati; Amy Zhang 001; Joelle Pineau; Pascal Vincent (UAI, 2020)

Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces. - Ahmed Touati; Adrien Ali Taïga; Marc G. Bellemare (CoRR, 2020)

TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning? - Joshua Romoff; Peter Henderson 002; David Kanaa; Emmanuel Bengio; Ahmed Touati; Pierre-Luc Bacon; Joelle Pineau (CoRR, 2020)

Sharp Analysis of Smoothed Bellman Error Embedding. - Ahmed Touati; Pascal Vincent (CoRR, 2020)

Maximum Reward Formulation In Reinforcement Learning. - Sai Krishna Gottipati; Yashaswi Pathak; Rohan Nuttall; Sahir; Raviteja Chunduru; Ahmed Touati; Sriram Ganapathi Subramanian; Matthew E. Taylor; Sarath Chandar (CoRR, 2020)

Efficient Learning in Non-Stationary Linear Markov Decision Processes. - Ahmed Touati; Pascal Vincent (CoRR, 2020)

TDprop: Does Adaptive Optimization With Jacobi Preconditioning Help Temporal Difference Learning? - Joshua Romoff; Peter Henderson 002; David Kanaa; Emmanuel Bengio; Ahmed Touati; Pierre-Luc Bacon; Joelle Pineau (AAMAS, 2021)

Learning One Representation to Optimize All Rewards. - Ahmed Touati; Yann Ollivier (NeurIPS, 2021)

Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees. - Andrea Tirinzoni; Matteo Papini; Ahmed Touati; Alessandro Lazaric; Matteo Pirotta (NeurIPS, 2022)

Does Zero-Shot Reinforcement Learning Exist? - Ahmed Touati; Jérémy Rapin; Yann Ollivier (ICLR, 2023)

A State Representation for Diminishing Rewards. - Ted Moskovitz; Samo Hromadka; Ahmed Touati; Diana Borsa; Maneesh Sahani (NeurIPS, 2023)

Fast Imitation via Behavior Foundation Models. - Matteo Pirotta; Andrea Tirinzoni; Ahmed Touati; Alessandro Lazaric; Yann Ollivier (ICLR, 2024)

Score Models for Offline Goal-Conditioned Reinforcement Learning. - Harshit Sikchi; Rohan Chitnis; Ahmed Touati; Alborz Geramifard; Amy Zhang 001; Scott Niekum (ICLR, 2024)

Simple Ingredients for Offline Reinforcement Learning. - Edoardo Cetin; Andrea Tirinzoni; Matteo Pirotta; Alessandro Lazaric; Yann Ollivier; Ahmed Touati (ICML, 2024)

Finer Behavioral Foundation Models via Auto-Regressive Features and Advantage Weighting. - Edoardo Cetin; Ahmed Touati; Yann Ollivier (CoRR, 2024)

Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models. - Andrea Tirinzoni; Ahmed Touati; Jesse Farebrother; Mateusz Guzek; Anssi Kanervisto; Yingchen Xu; Alessandro Lazaric; Matteo Pirotta (ICLR, 2025)

Temporal Difference Flows. - Jesse Farebrother; Matteo Pirotta; Andrea Tirinzoni; Rémi Munos; Alessandro Lazaric; Ahmed Touati (CoRR, 2025)

Fast Adaptation with Behavioral Foundation Models. - Harshit Sikchi; Andrea Tirinzoni; Ahmed Touati; Yingchen Xu; Anssi Kanervisto; Scott Niekum; Amy Zhang 001; Alessandro Lazaric; Matteo Pirotta (CoRR, 2025)