Combes, Remi Tachet des

18 publications

ICLR 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

ICLR 2023 Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting Zhang-Wei Hong, Pulkit Agrawal, Remi Tachet des Combes, Romain Laroche

ICLR 2023 Learning Structured Representations by Embedding Class Hierarchy Siqi Zeng, Remi Tachet des Combes, Han Zhao

NeurIPS 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

NeurIPSW 2022 Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information Riashat Islam, Manan Tomar, Alex Lamb, Hongyu Zang, Yonathan Efroni, Dipendra Misra, Aniket Rajiv Didolkar, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford

NeurIPS 2022 Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex M Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes

JMLR 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

NeurIPS 2021 A Single Gradient Step Finds Adversarial Examples on Random Two-Layers Neural Networks Sebastien Bubeck, Yeshwanth Cherapanamjeri, Gauthier Gidel, Remi Tachet des Combes

ICLR 2021 Adversarial Score Matching and Improved Sampling for Image Generation Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Ioannis Mitliagkas, Remi Tachet des Combes

ICML 2021 Decomposed Mutual Information Estimation for Contrastive Representation Learning Alessandro Sordoni, Nouha Dziri, Hannes Schulz, Geoff Gordon, Philip Bachman, Remi Tachet Des Combes

NeurIPS 2021 Dr Jekyll & Mr Hyde: The Strange Case of Off-Policy Policy Updates Romain Laroche, Remi Tachet des Combes

NeurIPS 2020 Deep Reinforcement and InfoMax Learning Bogdan Mazoure, Remi Tachet des Combes, Thang Long Doan, Philip Bachman, R Devon Hjelm

NeurIPS 2020 Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang, Geoffrey J. Gordon

IJCAI 2020 Reinforcement Learning Framework for Deep Brain Stimulation Study Dmitrii Krylov, Remi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov

ICLR 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

ICML 2019 On Learning Invariant Representations for Domain Adaptation Han Zhao, Remi Tachet Des Combes, Kun Zhang, Geoffrey Gordon

ICML 2019 Safe Policy Improvement with Baseline Bootstrapping Romain Laroche, Paul Trichelair, Remi Tachet Des Combes

ECML-PKDD 2019 Safe Policy Improvement with Soft Baseline Bootstrapping Kimia Nadjahi, Romain Laroche, Rémi Tachet des Combes