Remi Tachet des Combes

According to our database, Remi Tachet des Combes authored at least 43 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning.

Hongyu Zang, Xin Li, Leiji Zhang, Yang Liu, Baigui Sun, Riashat Islam, Remi Tachet des Combes, Romain Laroche

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Convergence of SARSA with Linear Function Approximation.

Shangtong Zhang, Remi Tachet des Combes, Romain Laroche

Proceedings of the International Conference on Machine Learning, 2023

On the Occupancy Measure of Non-Markovian Policies in Continuous MDPs.

Romain Laroche, Remi Tachet des Combes

Proceedings of the International Conference on Machine Learning, 2023

Principled Offline RL in the Presence of Rich Exogenous Information.

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

Proceedings of the International Conference on Machine Learning, 2023

Learning Structured Representations by Embedding Class Hierarchy.

Siqi Zeng, Remi Tachet des Combes, Han Zhao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Behavior Prior Representation learning for Offline Reinforcement Learning.

Hongyu Zang, Xin Li, Jie Yu, Chen Liu, Riashat Islam, Remi Tachet des Combes, Romain Laroche

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting.

Zhang-Wei Hong, Pulkit Agrawal, Remi Tachet des Combes, Romain Laroche

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch.

Shangtong Zhang, Remi Tachet des Combes, Romain Laroche

J. Mach. Learn. Res., 2022

Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning.

Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes

CoRR, 2022

Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information.

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

CoRR, 2022

Incorporating Explicit Uncertainty Estimates into Deep Offline Reinforcement Learning.

David Brandfonbrener, Remi Tachet des Combes, Romain Laroche

CoRR, 2022

Non-Markovian policies occupancy measures.

Romain Laroche, Remi Tachet des Combes, Jacob Buckman

CoRR, 2022

On the Chattering of SARSA with Linear Function Approximation.

Shangtong Zhang, Remi Tachet des Combes, Romain Laroche

CoRR, 2022

Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning.

Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Measuring the Carbon Intensity of AI in Cloud Instances.

Jesse Dodge, Taylor Prewitt, Remi Tachet des Combes, Erika Odmark, Roy Schwartz, Emma Strubell, Alexandra Sasha Luccioni, Noah A. Smith, Nicole DeCario, Will Buchanan

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms.

Shangtong Zhang, Romain Laroche, Harm van Seijen, Shimon Whiteson, Remi Tachet des Combes

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms.

Romain Laroche, Remi Tachet des Combes

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Dr Jekyll and Mr Hyde: the Strange Case of Off-Policy Policy Updates.

Romain Laroche, Remi Tachet des Combes

CoRR, 2021

On the Regularity of Attention.

James Vuckovic, Aristide Baratin, Remi Tachet des Combes

CoRR, 2021

Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates.

Romain Laroche, Remi Tachet des Combes

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A single gradient step finds adversarial examples on random two-layers neural networks.

Sébastien Bubeck, Yeshwanth Cherapanamjeri, Gauthier Gidel, Remi Tachet des Combes

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Decomposed Mutual Information Estimation for Contrastive Representation Learning.

Alessandro Sordoni, Nouha Dziri, Hannes Schulz, Geoffrey J. Gordon, Philip Bachman, Remi Tachet des Combes

Proceedings of the 38th International Conference on Machine Learning, 2021

Adversarial score matching and improved sampling for image generation.

Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Ioannis Mitliagkas, Remi Tachet des Combes

Proceedings of the 9th International Conference on Learning Representations, 2021

Increasing Robustness to Spurious Correlations using Forgettable Examples.

Yadollah Yaghoobzadeh, Soroush Mehri, Remi Tachet des Combes, Timothy J. Hazen, Alessandro Sordoni

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

A Mathematical Theory of Attention.

James Vuckovic, Aristide Baratin, Remi Tachet des Combes

CoRR, 2020

Deep Reinforcement and InfoMax Learning.

Bogdan Mazoure, Remi Tachet des Combes, Thang Doan, Philip Bachman, R. Devon Hjelm

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift.

Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang, Geoffrey J. Gordon

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Reinforcement Learning Framework for Deep Brain Stimulation Study.

Dmitrii Krylov, Remi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Safe Policy Improvement with an Estimated Baseline Policy.

Thiago D. Simão, Romain Laroche, Rémi Tachet des Combes

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

A Reduction from Reinforcement Learning to No-Regret Online Learning.

Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoffrey J. Gordon

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Estimating Savings in Parking Demand Using Shared Vehicles for Home-Work Commuting.

Dániel Kondor, Hongmou Zhang, Remi Tachet des Combes, Paolo Santi, Carlo Ratti

IEEE Trans. Intell. Transp. Syst., 2019

Robust Natural Language Inference Models with Example Forgetting.

Yadollah Yaghoobzadeh, Remi Tachet des Combes, Timothy J. Hazen, Alessandro Sordoni

CoRR, 2019

On Learning Invariant Representation for Domain Adaptation.

Han Zhao, Remi Tachet des Combes, Kun Zhang, Geoffrey J. Gordon

CoRR, 2019

Safe Policy Improvement with Soft Baseline Bootstrapping.

Kimia Nadjahi, Romain Laroche, Rémi Tachet des Combes

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Safe Policy Improvement with Baseline Bootstrapping.

Romain Laroche, Paul Trichelair, Remi Tachet des Combes

Proceedings of the 36th International Conference on Machine Learning, 2019

On Learning Invariant Representations for Domain Adaptation.

Han Zhao, Remi Tachet des Combes, Kun Zhang, Geoffrey J. Gordon

Proceedings of the 36th International Conference on Machine Learning, 2019

An Empirical Study of Example Forgetting during Deep Neural Network Learning.

Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

On the Learning Dynamics of Deep Neural Networks.

Remi Tachet des Combes, Mohammad Pezeshki, Samira Shabanian, Aaron C. Courville, Yoshua Bengio

CoRR, 2018

Counting to Explore and Generalize in Text-based Games.

Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew J. Hausknecht, Adam Trischler

CoRR, 2018

Learning Invariances for Policy Generalization.

Remi Tachet des Combes, Philip Bachman, Harm van Seijen

Proceedings of the 6th International Conference on Learning Representations, 2018

2015

Cities through the Prism of People's Spending Behavior.

Stanislav Sobolevsky, Izabela Sitko, Remi Tachet des Combes, Bartosz Hawelka, Juan Murillo Arias, Carlo Ratti

CoRR, 2015

2014

Mining Urban Performance: Scale-Independent Classification of Cities Based on Individual Economic Transactions.

Stanislav Sobolevsky, Izabela Sitko, Sebastian Grauwin, Remi Tachet des Combes, Bartosz Hawelka, Juan Murillo Arias, Carlo Ratti

CoRR, 2014

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.

Stanislav Sobolevsky, Izabela Sitko, Remi Tachet des Combes, Bartosz Hawelka, Juan Murillo Arias, Carlo Ratti

Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014