Remi Tachet des Combes

54 papers A* 17A 4Journal 29Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	Behavior Prior Representation learning for Offline Reinforcement Learning. ICLR Hongyu Zang, Xin Li, Jie Yu, Chen Liu, Riashat Islam, Remi Tachet des Combes, Romain Laroche
2023	A*	`conf`	Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting. ICLR Zhang-Wei Hong, Pulkit Agrawal, Remi Tachet des Combes, Romain Laroche
2023	A*	`conf`	Learning Structured Representations by Embedding Class Hierarchy. ICLR Siqi Zeng, Remi Tachet des Combes, Han Zhao
2023	A*	`conf`	On the Convergence of SARSA with Linear Function Approximation. ICML Shangtong Zhang, Remi Tachet des Combes, Romain Laroche
2023	A*	`conf`	On the Occupancy Measure of Non-Markovian Policies in Continuous MDPs. ICML Romain Laroche, Remi Tachet des Combes
2023	A*	`conf`	Principled Offline RL in the Presence of Rich Exogenous Information. ICML Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Rajiv Didolkar, Dipendra Misra, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford
2023	A*	`conf`	Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning. NeurIPS Hongyu Zang, Xin Li, Leiji Zhang, Yang Liu, Baigui Sun, Riashat Islam, Remi Tachet des Combes, Romain Laroche
2023	J	`jnl`	Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning. CoRR Hongyu Zang, Xin Li, Leiji Zhang, Yang Liu, Baigui Sun, Riashat Islam, Remi Tachet des Combes, Romain Laroche
2022	A	`conf`	A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms. AAMAS Shangtong Zhang, Romain Laroche, Harm van Seijen, Shimon Whiteson, Remi Tachet des Combes
2022	J	`jnl`	Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information. CoRR Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Didolkar, Dipendra Misra, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford
2022	J	`jnl`	Behavior Prior Representation learning for Offline Reinforcement Learning. CoRR Hongyu Zang, Xin Li, Jie Yu, Chen Liu, Riashat Islam, Remi Tachet des Combes, Romain Laroche
2022	A	`conf`	Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms. AISTATS Romain Laroche, Remi Tachet des Combes
2022	J	`jnl`	Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms. CoRR Romain Laroche, Remi Tachet des Combes
2022	A*	`conf`	Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning. NeurIPS Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes
2022	J	`jnl`	Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning. CoRR Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes
2022	J	`jnl`	Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch. J. Mach. Learn. Res. Shangtong Zhang, Remi Tachet des Combes, Romain Laroche
2022	J	`jnl`	Incorporating Explicit Uncertainty Estimates into Deep Offline Reinforcement Learning. CoRR David Brandfonbrener, Remi Tachet des Combes, Romain Laroche
2022	—	`conf`	Measuring the Carbon Intensity of AI in Cloud Instances. FAccT Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan
2022	J	`jnl`	Measuring the Carbon Intensity of AI in Cloud Instances. CoRR Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan
2022	J	`jnl`	Non-Markovian policies occupancy measures. CoRR Romain Laroche, Remi Tachet des Combes, Jacob Buckman
2022	J	`jnl`	On the Chattering of SARSA with Linear Function Approximation. CoRR Shangtong Zhang, Remi Tachet des Combes, Romain Laroche
2021	A*	`conf`	A single gradient step finds adversarial examples on random two-layers neural networks. NeurIPS Sébastien Bubeck, Yeshwanth Cherapanamjeri, Gauthier Gidel, Remi Tachet des Combes
2021	A*	`conf`	Adversarial score matching and improved sampling for image generation. ICLR Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Ioannis Mitliagkas, Remi Tachet des Combes
2021	A*	`conf`	Decomposed Mutual Information Estimation for Contrastive Representation Learning. ICML Alessandro Sordoni, Nouha Dziri, Hannes Schulz, Geoffrey J. Gordon, Philip Bachman, Remi Tachet des Combes
2021	J	`jnl`	Decomposed Mutual Information Estimation for Contrastive Representation Learning. CoRR Alessandro Sordoni, Nouha Dziri, Hannes Schulz, Geoffrey J. Gordon, Philip Bachman, Remi Tachet des Combes
2021	A*	`conf`	Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates. NeurIPS Romain Laroche, Remi Tachet des Combes
2021	J	`jnl`	Dr Jekyll and Mr Hyde: the Strange Case of Off-Policy Policy Updates. CoRR Romain Laroche, Remi Tachet des Combes
2021	J	`jnl`	Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch. CoRR Shangtong Zhang, Remi Tachet des Combes, Romain Laroche
2021	A	`conf`	Increasing Robustness to Spurious Correlations using Forgettable Examples. EACL Yadollah Yaghoobzadeh, Soroush Mehri, Remi Tachet des Combes, Timothy J. Hazen, Alessandro Sordoni
2021	J	`jnl`	On the Regularity of Attention. CoRR James Vuckovic, Aristide Baratin, Remi Tachet des Combes
2020	J	`jnl`	A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms. CoRR Shangtong Zhang, Romain Laroche, Harm van Seijen, Shimon Whiteson, Remi Tachet des Combes
2020	J	`jnl`	A Mathematical Theory of Attention. CoRR James Vuckovic, Aristide Baratin, Remi Tachet des Combes
2020	A	`conf`	A Reduction from Reinforcement Learning to No-Regret Online Learning. AISTATS Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoffrey J. Gordon
2020	A*	`conf`	Deep Reinforcement and InfoMax Learning. NeurIPS Bogdan Mazoure, Remi Tachet des Combes, Thang Doan, Philip Bachman, R. Devon Hjelm
2020	J	`jnl`	Deep Reinforcement and InfoMax Learning. CoRR Bogdan Mazoure, Remi Tachet des Combes, Thang Doan, Philip Bachman, R. Devon Hjelm
2020	A*	`conf`	Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift. NeurIPS Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang, Geoffrey J. Gordon
2020	J	`jnl`	Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift. CoRR Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang, Geoffrey J. Gordon
2020	A*	`conf`	Reinforcement Learning Framework for Deep Brain Stimulation Study. IJCAI Dmitrii Krylov, Remi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov
2019	J	`jnl`	A Reduction from Reinforcement Learning to No-Regret Online Learning. CoRR Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoffrey J. Gordon
2019	—	`conf`	An Empirical Study of Example Forgetting during Deep Neural Network Learning. ICLR (Poster) Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon
2019	J	`jnl`	Estimating Savings in Parking Demand Using Shared Vehicles for Home-Work Commuting. IEEE Trans. Intell. Transp. Syst. Dániel Kondor, Hongmou Zhang, Remi Tachet des Combes, Paolo Santi, Carlo Ratti
2019	J	`jnl`	On Learning Invariant Representation for Domain Adaptation. CoRR Han Zhao, Remi Tachet des Combes, Kun Zhang, Geoffrey J. Gordon
2019	A*	`conf`	On Learning Invariant Representations for Domain Adaptation. ICML Han Zhao, Remi Tachet des Combes, Kun Zhang, Geoffrey J. Gordon
2019	J	`jnl`	Robust Natural Language Inference Models with Example Forgetting. CoRR Yadollah Yaghoobzadeh, Remi Tachet des Combes, Timothy J. Hazen, Alessandro Sordoni
2019	A*	`conf`	Safe Policy Improvement with Baseline Bootstrapping. ICML Romain Laroche, Paul Trichelair, Remi Tachet des Combes
2018	J	`jnl`	An Empirical Study of Example Forgetting during Deep Neural Network Learning. CoRR Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon
2018	J	`jnl`	Counting to Explore and Generalize in Text-based Games. CoRR Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew J. Hausknecht, Adam Trischler
2018	—	`conf`	Learning Invariances for Policy Generalization. ICLR (Workshop) Remi Tachet des Combes, Philip Bachman, Harm van Seijen
2018	J	`jnl`	Learning Invariances for Policy Generalization. CoRR Remi Tachet des Combes, Philip Bachman, Harm van Seijen
2018	J	`jnl`	On the Learning Dynamics of Deep Neural Networks. CoRR Remi Tachet des Combes, Mohammad Pezeshki, Samira Shabanian, Aaron C. Courville, Yoshua Bengio
2017	J	`jnl`	Estimating savings in parking demand using shared vehicles for home-work commuting. CoRR Dániel Kondor, Hongmou Zhang, Remi Tachet des Combes, Paolo Santi, Carlo Ratti
2015	J	`jnl`	Cities through the Prism of People's Spending Behavior. CoRR Stanislav Sobolevsky, Izabela Sitko, Remi Tachet des Combes, Bartosz Hawelka, Juan Murillo Arias, Carlo Ratti
2014	J	`jnl`	Mining Urban Performance: Scale-Independent Classification of Cities Based on Individual Economic Transactions. CoRR Stanislav Sobolevsky, Izabela Sitko, Sebastian Grauwin, Remi Tachet des Combes, Bartosz Hawelka, Juan Murillo Arias, Carlo Ratti
2014	—	`conf`	Money on the Move: Big Data of Bank Card Transactions as the New Proxy for Human Mobility Patterns and Regional Delineation. The Case of Residents and Foreign Visitors in Spain. BigData Congress Stanislav Sobolevsky, Izabela Sitko, Remi Tachet des Combes, Bartosz Hawelka, Juan Murillo Arias, Carlo Ratti