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2020 – today
- 2023
[c27]Zhang-Wei Hong, Pulkit Agrawal, Remi Tachet des Combes, Romain Laroche:
Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting. ICLR 2023- [c26]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 - [c25]Siqi Zeng, Remi Tachet des Combes, Han Zhao:
Learning Structured Representations by Embedding Class Hierarchy. ICLR 2023 - [c24]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: 14390-14421 - [c23]Romain Laroche, Remi Tachet des Combes:
On the Occupancy Measure of Non-Markovian Policies in Continuous MDPs. ICML 2023: 18548-18562 - [c22]Shangtong Zhang, Remi Tachet des Combes, Romain Laroche:
On the Convergence of SARSA with Linear Function Approximation. ICML 2023: 41613-41646 - [c21]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 - [i33]Zhang-Wei Hong, Pulkit Agrawal, Rémi Tachet des Combes, Romain Laroche:
Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting. CoRR abs/2306.13085 (2023) - [i32]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 abs/2310.17139 (2023) - 2022
- [j2]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: 343:1-343:91 (2022) - [c20]Romain Laroche, Remi Tachet des Combes:
Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms. AISTATS 2022: 5658-5688 - [c19]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: 1491-1499 - [c18]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: 1877-1894 - [c17]Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex 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 - [i31]Shangtong Zhang, Remi Tachet des Combes, Romain Laroche:
On the Chattering of SARSA with Linear Function Approximation. CoRR abs/2202.06828 (2022) - [i30]Romain Laroche, Remi Tachet des Combes:
Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms. CoRR abs/2202.07496 (2022) - [i29]Romain Laroche, Remi Tachet des Combes, Jacob Buckman:
Non-Markovian policies occupancy measures. CoRR abs/2205.13950 (2022) - [i28]David Brandfonbrener, Remi Tachet des Combes, Romain Laroche:
Incorporating Explicit Uncertainty Estimates into Deep Offline Reinforcement Learning. CoRR abs/2206.01085 (2022) - [i27]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 abs/2206.05229 (2022) - [i26]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 abs/2211.00164 (2022) - [i25]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 abs/2211.00247 (2022) - [i24]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 abs/2211.00863 (2022) - 2021
- [c16]Yadollah Yaghoobzadeh, Soroush Mehri, Remi Tachet des Combes, Timothy J. Hazen, Alessandro Sordoni:
Increasing Robustness to Spurious Correlations using Forgettable Examples. EACL 2021: 3319-3332 - [c15]Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Ioannis Mitliagkas, Remi Tachet des Combes:
Adversarial score matching and improved sampling for image generation. ICLR 2021 - [c14]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: 9859-9869 - [c13]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: 10081-10091 - [c12]Romain Laroche, Remi Tachet des Combes:
Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates. NeurIPS 2021: 24442-24454 - [i23]James Vuckovic, Aristide Baratin, Remi Tachet des Combes:
On the Regularity of Attention. CoRR abs/2102.05628 (2021) - [i22]Sébastien Bubeck, Yeshwanth Cherapanamjeri, Gauthier Gidel, Rémi Tachet des Combes:
A single gradient step finds adversarial examples on random two-layers neural networks. CoRR abs/2104.03863 (2021) - [i21]Alessandro Sordoni, Nouha Dziri, Hannes Schulz, Geoffrey J. Gordon, Philip Bachman, Remi Tachet des Combes:
Decomposed Mutual Information Estimation for Contrastive Representation Learning. CoRR abs/2106.13401 (2021) - [i20]Romain Laroche, Remi Tachet des Combes:
Dr Jekyll and Mr Hyde: the Strange Case of Off-Policy Policy Updates. CoRR abs/2109.14727 (2021) - [i19]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 abs/2111.02997 (2021) - 2020
- [c11]Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoffrey J. Gordon:
A Reduction from Reinforcement Learning to No-Regret Online Learning. AISTATS 2020: 3514-3524 - [c10]Thiago D. Simão, Romain Laroche, Rémi Tachet des Combes:
Safe Policy Improvement with an Estimated Baseline Policy. AAMAS 2020: 1269-1277 - [c9]Dmitrii Krylov, Remi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov
:
Reinforcement Learning Framework for Deep Brain Stimulation Study. IJCAI 2020: 2847-2854 - [c8]Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang, Geoffrey J. Gordon:
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift. NeurIPS 2020 - [c7]Bogdan Mazoure, Remi Tachet des Combes, Thang Doan, Philip Bachman, R. Devon Hjelm:
Deep Reinforcement and InfoMax Learning. NeurIPS 2020 - [i18]Dmitrii Krylov, Rémi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov:
Reinforcement Learning Framework for Deep Brain Stimulation Study. CoRR abs/2002.10948 (2020) - [i17]Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang, Geoffrey J. Gordon:
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift. CoRR abs/2003.04475 (2020) - [i16]Bogdan Mazoure, Remi Tachet des Combes, Thang Doan, Philip Bachman, R. Devon Hjelm:
Deep Reinforcement and InfoMax Learning. CoRR abs/2006.07217 (2020) - [i15]James Vuckovic, Aristide Baratin, Remi Tachet des Combes:
A Mathematical Theory of Attention. CoRR abs/2007.02876 (2020) - [i14]Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Rémi Tachet des Combes, Ioannis Mitliagkas:
Adversarial score matching and improved sampling for image generation. CoRR abs/2009.05475 (2020) - [i13]Shangtong Zhang, Romain Laroche, Harm van Seijen, Shimon Whiteson, Remi Tachet des Combes:
A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms. CoRR abs/2010.01069 (2020)
2010 – 2019
- 2019
- [j1]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): 2903-2912 (2019) - [c6]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 - [c5]Romain Laroche, Paul Trichelair, Remi Tachet des Combes:
Safe Policy Improvement with Baseline Bootstrapping. ICML 2019: 3652-3661 - [c4]Han Zhao, Remi Tachet des Combes, Kun Zhang, Geoffrey J. Gordon:
On Learning Invariant Representations for Domain Adaptation. ICML 2019: 7523-7532 - [c3]Kimia Nadjahi, Romain Laroche, Rémi Tachet des Combes:
Safe Policy Improvement with Soft Baseline Bootstrapping. ECML/PKDD (3) 2019: 53-68 - [i12]Han Zhao, Remi Tachet des Combes, Kun Zhang, Geoffrey J. Gordon:
On Learning Invariant Representation for Domain Adaptation. CoRR abs/1901.09453 (2019) - [i11]Kimia Nadjahi, Romain Laroche, Rémi Tachet des Combes:
Safe Policy Improvement with Soft Baseline Bootstrapping. CoRR abs/1907.05079 (2019) - [i10]Thiago D. Simão, Romain Laroche, Rémi Tachet des Combes:
Safe Policy Improvement with an Estimated Baseline Policy. CoRR abs/1909.05236 (2019) - [i9]Yadollah Yaghoobzadeh, Remi Tachet des Combes, Timothy J. Hazen, Alessandro Sordoni:
Robust Natural Language Inference Models with Example Forgetting. CoRR abs/1911.03861 (2019) - [i8]Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoffrey J. Gordon:
A Reduction from Reinforcement Learning to No-Regret Online Learning. CoRR abs/1911.05873 (2019) - 2018
- [c2]Remi Tachet des Combes, Philip Bachman, Harm van Seijen:
Learning Invariances for Policy Generalization. ICLR (Workshop) 2018 - [i7]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 abs/1806.11525 (2018) - [i6]Remi Tachet des Combes, Philip Bachman, Harm van Seijen:
Learning Invariances for Policy Generalization. CoRR abs/1809.02591 (2018) - [i5]Remi Tachet des Combes, Mohammad Pezeshki, Samira Shabanian, Aaron C. Courville, Yoshua Bengio:
On the Learning Dynamics of Deep Neural Networks. CoRR abs/1809.06848 (2018) - [i4]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 abs/1812.05159 (2018) - 2017
- [i3]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 abs/1710.04983 (2017) - 2015
- [i2]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 abs/1505.03854 (2015) - 2014
- [c1]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: 136-143 - [i1]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 abs/1405.4301 (2014)
Coauthor Index
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