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Ahmed Touati
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2020 – today
- 2024
- [c17]Matteo Pirotta, Andrea Tirinzoni, Ahmed Touati, Alessandro Lazaric, Yann Ollivier:
Fast Imitation via Behavior Foundation Models. ICLR 2024 - [c16]Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum:
Score Models for Offline Goal-Conditioned Reinforcement Learning. ICLR 2024 - [c15]Edoardo Cetin, Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric, Yann Ollivier, Ahmed Touati:
Simple Ingredients for Offline Reinforcement Learning. ICML 2024 - [i20]Edoardo Cetin, Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric, Yann Ollivier, Ahmed Touati:
Simple Ingredients for Offline Reinforcement Learning. CoRR abs/2403.13097 (2024) - 2023
- [c14]Ahmed Touati, Jérémy Rapin, Yann Ollivier:
Does Zero-Shot Reinforcement Learning Exist? ICLR 2023 - [c13]Ted Moskovitz, Samo Hromadka, Ahmed Touati, Diana Borsa, Maneesh Sahani:
A State Representation for Diminishing Rewards. NeurIPS 2023 - [i19]Ted Moskovitz, Samo Hromadka, Ahmed Touati, Diana Borsa, Maneesh Sahani:
A State Representation for Diminishing Rewards. CoRR abs/2309.03710 (2023) - [i18]Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum:
Score Models for Offline Goal-Conditioned Reinforcement Learning. CoRR abs/2311.02013 (2023) - 2022
- [c12]Andrea Tirinzoni, Matteo Papini, Ahmed Touati, Alessandro Lazaric, Matteo Pirotta:
Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees. NeurIPS 2022 - [i17]Ahmed Touati, Jérémy Rapin, Yann Ollivier:
Does Zero-Shot Reinforcement Learning Exist? CoRR abs/2209.14935 (2022) - [i16]Andrea Tirinzoni, Matteo Papini, Ahmed Touati, Alessandro Lazaric, Matteo Pirotta:
Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees. CoRR abs/2210.13083 (2022) - 2021
- [c11]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: 1082-1090 - [c10]Ahmed Touati, Yann Ollivier:
Learning One Representation to Optimize All Rewards. NeurIPS 2021: 13-23 - [i15]Ahmed Touati, Yann Ollivier:
Learning One Representation to Optimize All Rewards. CoRR abs/2103.07945 (2021) - 2020
- [c9]Chin-Wei Huang, Ahmed Touati, Pascal Vincent, Gintare Karolina Dziugaite, Alexandre Lacoste, Aaron C. Courville:
Stochastic Neural Network with Kronecker Flow. AISTATS 2020: 4184-4194 - [c8]Zilun Peng, Ahmed Touati, Pascal Vincent, Doina Precup:
SVRG for Policy Evaluation with Fewer Gradient Evaluations. IJCAI 2020: 2697-2703 - [c7]Ahmed Touati, Amy Zhang, Joelle Pineau, Pascal Vincent:
Stable Policy Optimization via Off-Policy Divergence Regularization. UAI 2020: 1328-1337 - [i14]Ahmed Touati, Adrien Ali Taïga, Marc G. Bellemare:
Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces. CoRR abs/2003.04069 (2020) - [i13]Ahmed Touati, Amy Zhang
, Joelle Pineau, Pascal Vincent:
Stable Policy Optimization via Off-Policy Divergence Regularization. CoRR abs/2003.04108 (2020) - [i12]Joshua Romoff, Peter Henderson, David Kanaa, Emmanuel Bengio, Ahmed Touati, Pierre-Luc Bacon, Joelle Pineau:
TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning? CoRR abs/2007.02786 (2020) - [i11]Ahmed Touati, Pascal Vincent:
Sharp Analysis of Smoothed Bellman Error Embedding. CoRR abs/2007.03749 (2020) - [i10]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 abs/2010.03744 (2020) - [i9]Ahmed Touati, Pascal Vincent:
Efficient Learning in Non-Stationary Linear Markov Decision Processes. CoRR abs/2010.12870 (2020)
2010 – 2019
- 2019
- [c6]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 - [c5]Joshua Romoff, Peter Henderson, Ahmed Touati, Yann Ollivier, Joelle Pineau, Emma Brunskill:
Separable value functions across time-scales. ICML 2019: 5468-5477 - [c4]Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau, Pascal Vincent:
Randomized Value Functions via Multiplicative Normalizing Flows. UAI 2019: 422-432 - [i8]Joshua Romoff, Peter Henderson, Ahmed Touati, Yann Ollivier, Emma Brunskill, Joelle Pineau:
Separating value functions across time-scales. CoRR abs/1902.01883 (2019) - [i7]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 abs/1903.01599 (2019) - [i6]Zilun Peng, Ahmed Touati, Pascal Vincent, Doina Precup:
SVRG for Policy Evaluation with Fewer Gradient Evaluations. CoRR abs/1906.03704 (2019) - [i5]Chin-Wei Huang, Ahmed Touati, Pascal Vincent, Gintare Karolina Dziugaite, Alexandre Lacoste, Aaron C. Courville:
Stochastic Neural Network with Kronecker Flow. CoRR abs/1906.04282 (2019) - 2018
- [c3]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 - [c2]Ahmed Touati, Pierre-Luc Bacon, Doina Precup, Pascal Vincent:
Convergent TREE BACKUP and RETRACE with Function Approximation. ICML 2018: 4962-4971 - [i4]Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau, Pascal Vincent:
Randomized Value Functions via Multiplicative Normalizing Flows. CoRR abs/1806.02315 (2018) - 2017
- [i3]Ahmed Touati, Pierre-Luc Bacon, Doina Precup, Pascal Vincent:
Convergent Tree-Backup and Retrace with Function Approximation. CoRR abs/1705.09322 (2017) - [i2]Gabriel Huang, Gauthier Gidel, Hugo Berard, Ahmed Touati, Simon Lacoste-Julien:
Adversarial Divergences are Good Task Losses for Generative Modeling. CoRR abs/1708.02511 (2017) - [i1]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 abs/1710.02248 (2017) - 2014
- [c1]Jerome Le Ny, Ahmed Touati, George J. Pappas
Real-time privacy-preserving model-based estimation of traffic flows. ICCPS 2014: 92-102
Coauthor Index
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last updated on 2024-09-04 00:28 CEST by the dblp team
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