Remi Tachet des Combes

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 50

Top Topics

Reinforcement Learning

Invariant Representations

Top Venues

Publications

Zhang-Wei Hong, Pulkit Agrawal, Remi Tachet des Combes, Romain Laroche
Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting. ICLR (2023)
Hongyu Zang, Xin Li, Jie Yu, Chen Liu, Riashat Islam, Remi Tachet des Combes, Romain Laroche
Behavior Prior Representation learning for Offline Reinforcement Learning. ICLR (2023)
Shangtong Zhang, Remi Tachet des Combes, Romain Laroche
On the Convergence of SARSA with Linear Function Approximation. ICML (2023)
Hongyu Zang, Xin Li, Leiji Zhang, Yang Liu, Baigui Sun, Riashat Islam, Remi Tachet des Combes, Romain Laroche
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning. NeurIPS (2023)
Romain Laroche, Remi Tachet des Combes
On the Occupancy Measure of Non-Markovian Policies in Continuous MDPs. ICML (2023)
Siqi Zeng, Remi Tachet des Combes, Han Zhao
Learning Structured Representations by Embedding Class Hierarchy. ICLR (2023)
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
Principled Offline RL in the Presence of Rich Exogenous Information. ICML (2023)
Hongyu Zang, Xin Li, Leiji Zhang, Yang Liu, Baigui Sun, Riashat Islam, Remi Tachet des Combes, Romain Laroche
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning. CoRR (2023)
Romain Laroche, Remi Tachet des Combes, Jacob Buckman
Non-Markovian policies occupancy measures. CoRR (2022)
Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan
Measuring the Carbon Intensity of AI in Cloud Instances. FAccT (2022)
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
Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information. CoRR (2022)
Shangtong Zhang, Remi Tachet des Combes, Romain Laroche
On the Chattering of SARSA with Linear Function Approximation. CoRR (2022)
Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex M. Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes
Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning. NeurIPS (2022)
Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan
Measuring the Carbon Intensity of AI in Cloud Instances. CoRR (2022)
David Brandfonbrener, Remi Tachet des Combes, Romain Laroche
Incorporating Explicit Uncertainty Estimates into Deep Offline Reinforcement Learning. CoRR (2022)
Shangtong Zhang, Remi Tachet des Combes, Romain Laroche
Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch. J. Mach. Learn. Res. 23 (2022)
Hongyu Zang, Xin Li, Jie Yu, Chen Liu, Riashat Islam, Remi Tachet des Combes, Romain Laroche
Behavior Prior Representation learning for Offline Reinforcement Learning. CoRR (2022)
Shangtong Zhang, Romain Laroche, Harm van Seijen, Shimon Whiteson, Remi Tachet des Combes
A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms. AAMAS (2022)
Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes
Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning. CoRR (2022)
Romain Laroche, Remi Tachet des Combes
Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms. AISTATS (2022)
Sébastien Bubeck, Yeshwanth Cherapanamjeri, Gauthier Gidel, Remi Tachet des Combes
A single gradient step finds adversarial examples on random two-layers neural networks. NeurIPS (2021)
Shangtong Zhang, Remi Tachet des Combes, Romain Laroche
Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch. CoRR (2021)
Alessandro Sordoni, Nouha Dziri, Hannes Schulz, Geoffrey J. Gordon, Philip Bachman, Remi Tachet des Combes
Decomposed Mutual Information Estimation for Contrastive Representation Learning. ICML (2021)
Alessandro Sordoni, Nouha Dziri, Hannes Schulz, Geoffrey J. Gordon, Philip Bachman, Remi Tachet des Combes
Decomposed Mutual Information Estimation for Contrastive Representation Learning. CoRR (2021)
Romain Laroche, Remi Tachet des Combes
Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates. NeurIPS (2021)
Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Ioannis Mitliagkas, Remi Tachet des Combes
Adversarial score matching and improved sampling for image generation. ICLR (2021)
Romain Laroche, Remi Tachet des Combes
Dr Jekyll and Mr Hyde: the Strange Case of Off-Policy Policy Updates. CoRR (2021)
Yadollah Yaghoobzadeh, Soroush Mehri, Remi Tachet des Combes, Timothy J. Hazen, Alessandro Sordoni
Increasing Robustness to Spurious Correlations using Forgettable Examples. EACL (2021)
James Vuckovic, Aristide Baratin, Remi Tachet des Combes
On the Regularity of Attention. CoRR (2021)
Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang, Geoffrey J. Gordon
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift. CoRR (2020)
James Vuckovic, Aristide Baratin, Remi Tachet des Combes
A Mathematical Theory of Attention. CoRR (2020)
Bogdan Mazoure, Remi Tachet des Combes, Thang Doan, Philip Bachman, R. Devon Hjelm
Deep Reinforcement and InfoMax Learning. NeurIPS (2020)
Dmitrii Krylov, Remi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov
Reinforcement Learning Framework for Deep Brain Stimulation Study. IJCAI (2020)
Shangtong Zhang, Romain Laroche, Harm van Seijen, Shimon Whiteson, Remi Tachet des Combes
A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms. CoRR (2020)
Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoffrey J. Gordon
A Reduction from Reinforcement Learning to No-Regret Online Learning. AISTATS (2020)
Bogdan Mazoure, Remi Tachet des Combes, Thang Doan, Philip Bachman, R. Devon Hjelm
Deep Reinforcement and InfoMax Learning. CoRR (2020)
Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang, Geoffrey J. Gordon
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift. NeurIPS (2020)
Dániel Kondor, Hongmou Zhang, Remi Tachet des Combes, Paolo Santi, Carlo Ratti
Estimating Savings in Parking Demand Using Shared Vehicles for Home-Work Commuting. IEEE Trans. Intell. Transp. Syst. 20 (8) (2019)
Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoffrey J. Gordon
A Reduction from Reinforcement Learning to No-Regret Online Learning. CoRR (2019)
Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon
An Empirical Study of Example Forgetting during Deep Neural Network Learning. ICLR (Poster) (2019)
Yadollah Yaghoobzadeh, Remi Tachet des Combes, Timothy J. Hazen, Alessandro Sordoni
Robust Natural Language Inference Models with Example Forgetting. CoRR (2019)
Romain Laroche, Paul Trichelair, Remi Tachet des Combes
Safe Policy Improvement with Baseline Bootstrapping. ICML (2019)
Han Zhao, Remi Tachet des Combes, Kun Zhang, Geoffrey J. Gordon
On Learning Invariant Representations for Domain Adaptation. ICML (2019)
Han Zhao, Remi Tachet des Combes, Kun Zhang, Geoffrey J. Gordon
On Learning Invariant Representation for Domain Adaptation. CoRR (2019)
Remi Tachet des Combes, Philip Bachman, Harm van Seijen
Learning Invariances for Policy Generalization. ICLR (Workshop) (2018)
Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon
An Empirical Study of Example Forgetting during Deep Neural Network Learning. CoRR (2018)
Remi Tachet des Combes, Mohammad Pezeshki, Samira Shabanian, Aaron C. Courville, Yoshua Bengio
On the Learning Dynamics of Deep Neural Networks. CoRR (2018)
Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew J. Hausknecht, Adam Trischler
Counting to Explore and Generalize in Text-based Games. CoRR (2018)
Remi Tachet des Combes, Philip Bachman, Harm van Seijen
Learning Invariances for Policy Generalization. CoRR (2018)
Dániel Kondor, Hongmou Zhang, Remi Tachet des Combes, Paolo Santi, Carlo Ratti
Estimating savings in parking demand using shared vehicles for home-work commuting. CoRR (2017)
Stanislav Sobolevsky, Izabela Sitko, Remi Tachet des Combes, Bartosz Hawelka, Juan Murillo Arias, Carlo Ratti
Cities through the Prism of People's Spending Behavior. CoRR (2015)
Stanislav Sobolevsky, Izabela Sitko, Sebastian Grauwin, Remi Tachet des Combes, Bartosz Hawelka, Juan Murillo Arias, Carlo Ratti
Mining Urban Performance: Scale-Independent Classification of Cities Based on Individual Economic Transactions. CoRR (2014)
Stanislav Sobolevsky, Izabela Sitko, Remi Tachet des Combes, Bartosz Hawelka, Juan Murillo Arias, Carlo Ratti
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 (2014)