Ahmed Touati - RankMe

46 papers A* 12A 4Journal 27Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Compositional Planning with Jumpy World Models. CoRR Jesse Farebrother, Matteo Pirotta, Andrea Tirinzoni, Marc G. Bellemare, Alessandro Lazaric, Ahmed Touati
2025	J	`jnl`	BFM-Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning. CoRR Yitang Li, Zhengyi Luo, Tonghe Zhang, Cunxi Dai, Anssi Kanervisto, Andrea Tirinzoni, Haoyang Weng, Kris Kitani, Mateusz Guzek, Ahmed Touati, Alessandro Lazaric, Matteo Pirotta, Guanya Shi
2025	J	`jnl`	Fast Adaptation with Behavioral Foundation Models. CoRR Harshit Sikchi, Andrea Tirinzoni, Ahmed Touati, Yingchen Xu, Anssi Kanervisto, Scott Niekum, Amy Zhang, Alessandro Lazaric, Matteo Pirotta
2025	J	`jnl`	TD-JEPA: Latent-predictive Representations for Zero-Shot Reinforcement Learning. CoRR Marco Bagatella, Matteo Pirotta, Ahmed Touati, Alessandro Lazaric, Andrea Tirinzoni
2025	A*	`conf`	Temporal Difference Flows. ICML Jesse Farebrother, Matteo Pirotta, Andrea Tirinzoni, Rémi Munos, Alessandro Lazaric, Ahmed Touati
2025	J	`jnl`	Temporal Difference Flows. CoRR Jesse Farebrother, Matteo Pirotta, Andrea Tirinzoni, Rémi Munos, Alessandro Lazaric, Ahmed Touati
2025	A*	`conf`	Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models. ICLR Andrea Tirinzoni, Ahmed Touati, Jesse Farebrother, Mateusz Guzek, Anssi Kanervisto, Yingchen Xu, Alessandro Lazaric, Matteo Pirotta
2025	J	`jnl`	Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models. CoRR Andrea Tirinzoni, Ahmed Touati, Jesse Farebrother, Mateusz Guzek, Anssi Kanervisto, Yingchen Xu, Alessandro Lazaric, Matteo Pirotta
2024	A*	`conf`	Fast Imitation via Behavior Foundation Models. ICLR Matteo Pirotta, Andrea Tirinzoni, Ahmed Touati, Alessandro Lazaric, Yann Ollivier
2024	J	`jnl`	Finer Behavioral Foundation Models via Auto-Regressive Features and Advantage Weighting. CoRR Edoardo Cetin, Ahmed Touati, Yann Ollivier
2024	A*	`conf`	Score Models for Offline Goal-Conditioned Reinforcement Learning. ICLR Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum
2024	A*	`conf`	Simple Ingredients for Offline Reinforcement Learning. ICML Edoardo Cetin, Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric, Yann Ollivier, Ahmed Touati
2024	J	`jnl`	Simple Ingredients for Offline Reinforcement Learning. CoRR Edoardo Cetin, Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric, Yann Ollivier, Ahmed Touati
2023	A*	`conf`	A State Representation for Diminishing Rewards. NeurIPS Ted Moskovitz, Samo Hromadka, Ahmed Touati, Diana Borsa, Maneesh Sahani
2023	J	`jnl`	A State Representation for Diminishing Rewards. CoRR Ted Moskovitz, Samo Hromadka, Ahmed Touati, Diana Borsa, Maneesh Sahani
2023	A*	`conf`	Does Zero-Shot Reinforcement Learning Exist? ICLR Ahmed Touati, Jérémy Rapin, Yann Ollivier
2023	J	`jnl`	Score Models for Offline Goal-Conditioned Reinforcement Learning. CoRR Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum
2022	J	`jnl`	Does Zero-Shot Reinforcement Learning Exist? CoRR Ahmed Touati, Jérémy Rapin, Yann Ollivier
2022	A*	`conf`	Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees. NeurIPS Andrea Tirinzoni, Matteo Papini, Ahmed Touati, Alessandro Lazaric, Matteo Pirotta
2022	J	`jnl`	Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees. CoRR Andrea Tirinzoni, Matteo Papini, Ahmed Touati, Alessandro Lazaric, Matteo Pirotta
2021	A*	`conf`	Learning One Representation to Optimize All Rewards. NeurIPS Ahmed Touati, Yann Ollivier
2021	J	`jnl`	Learning One Representation to Optimize All Rewards. CoRR Ahmed Touati, Yann Ollivier
2021	A	`conf`	TDprop: Does Adaptive Optimization With Jacobi Preconditioning Help Temporal Difference Learning? AAMAS Joshua Romoff, Peter Henderson, David Kanaa, Emmanuel Bengio, Ahmed Touati, Pierre-Luc Bacon, Joelle Pineau
2020	J	`jnl`	Efficient Learning in Non-Stationary Linear Markov Decision Processes. CoRR Ahmed Touati, Pascal Vincent
2020	J	`jnl`	Maximum Reward Formulation In Reinforcement Learning. CoRR Sai Krishna Gottipati, Yashaswi Pathak, Rohan Nuttall, Sahir, Raviteja Chunduru, Ahmed Touati, Sriram Ganapathi Subramanian, Matthew E. Taylor, Sarath Chandar
2020	A*	`conf`	SVRG for Policy Evaluation with Fewer Gradient Evaluations. IJCAI Zilun Peng, Ahmed Touati, Pascal Vincent, Doina Precup
2020	J	`jnl`	Sharp Analysis of Smoothed Bellman Error Embedding. CoRR Ahmed Touati, Pascal Vincent
2020	A	`conf`	Stable Policy Optimization via Off-Policy Divergence Regularization. UAI Ahmed Touati, Amy Zhang, Joelle Pineau, Pascal Vincent
2020	J	`jnl`	Stable Policy Optimization via Off-Policy Divergence Regularization. CoRR Ahmed Touati, Amy Zhang, Joelle Pineau, Pascal Vincent
2020	A	`conf`	Stochastic Neural Network with Kronecker Flow. AISTATS Chin-Wei Huang, Ahmed Touati, Pascal Vincent, Gintare Karolina Dziugaite, Alexandre Lacoste, Aaron C. Courville
2020	J	`jnl`	TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning? CoRR Joshua Romoff, Peter Henderson, David Kanaa, Emmanuel Bengio, Ahmed Touati, Pierre-Luc Bacon, Joelle Pineau
2020	J	`jnl`	Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces. CoRR Ahmed Touati, Adrien Ali Taïga, Marc G. Bellemare
2019	J	`jnl`	Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future. CoRR Nan Rosemary Ke, Amanpreet Singh, Ahmed Touati, Anirudh Goyal, Yoshua Bengio, Devi Parikh, Dhruv Batra
2019	—	`conf`	Modeling the Long Term Future in Model-Based Reinforcement Learning. ICLR (Poster) Nan Rosemary Ke, Amanpreet Singh, Ahmed Touati, Anirudh Goyal, Yoshua Bengio, Devi Parikh, Dhruv Batra
2019	A	`conf`	Randomized Value Functions via Multiplicative Normalizing Flows. UAI Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau, Pascal Vincent
2019	J	`jnl`	SVRG for Policy Evaluation with Fewer Gradient Evaluations. CoRR Zilun Peng, Ahmed Touati, Pascal Vincent, Doina Precup
2019	A*	`conf`	Separable value functions across time-scales. ICML Joshua Romoff, Peter Henderson, Ahmed Touati, Yann Ollivier, Joelle Pineau, Emma Brunskill
2019	J	`jnl`	Separating value functions across time-scales. CoRR Joshua Romoff, Peter Henderson, Ahmed Touati, Yann Ollivier, Emma Brunskill, Joelle Pineau
2019	J	`jnl`	Stochastic Neural Network with Kronecker Flow. CoRR Chin-Wei Huang, Ahmed Touati, Pascal Vincent, Gintare Karolina Dziugaite, Alexandre Lacoste, Aaron C. Courville
2018	A*	`conf`	Convergent TREE BACKUP and RETRACE with Function Approximation. ICML Ahmed Touati, Pierre-Luc Bacon, Doina Precup, Pascal Vincent
2018	—	`conf`	Parametric Adversarial Divergences are Good Task Losses for Generative Modeling. ICLR (Workshop) Gabriel Huang, Hugo Berard, Ahmed Touati, Gauthier Gidel, Pascal Vincent, Simon Lacoste-Julien
2018	J	`jnl`	Randomized Value Functions via Multiplicative Normalizing Flows. CoRR Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau, Pascal Vincent
2017	J	`jnl`	Adversarial Divergences are Good Task Losses for Generative Modeling. CoRR Gabriel Huang, Gauthier Gidel, Hugo Berard, Ahmed Touati, Simon Lacoste-Julien
2017	J	`jnl`	Convergent Tree-Backup and Retrace with Function Approximation. CoRR Ahmed Touati, Pierre-Luc Bacon, Doina Precup, Pascal Vincent
2017	J	`jnl`	Learnable Explicit Density for Continuous Latent Space and Variational Inference. CoRR Chin-Wei Huang, Ahmed Touati, Laurent Dinh, Michal Drozdzal, Mohammad Havaei, Laurent Charlin, Aaron C. Courville
2014	—	`conf`	Real-time privacy-preserving model-based estimation of traffic flows. ICCPS Jerome Le Ny, Ahmed Touati, George J. Pappas