Laroche, Romain

29 publications

ICML 2025 Learning Fused State Representations for Control from Multi-View Observations Zeyu Wang, Yao-Hui Li, Xin Li, Hongyu Zang, Romain Laroche, Riashat Islam

ICML 2025 Rejecting Hallucinated State Targets During Planning Harry Zhao, Tristan Sylvain, Romain Laroche, Doina Precup, Yoshua Bengio

ICLR 2024 Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning Harry Zhao, Safa Alver, Harm van Seijen, Romain Laroche, Doina Precup, Yoshua Bengio

NeurIPSW 2024 Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning Harry Zhao, Safa Alver, Harm van Seijen, Romain Laroche, Doina Precup, Yoshua Bengio

ICML 2024 Think Before You Act: Decision Transformers with Working Memory Jikun Kang, Romain Laroche, Xingdi Yuan, Adam Trischler, Xue Liu, Jie Fu

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

NeurIPS 2023 Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets Zhang-Wei Hong, Aviral Kumar, Sathwik Karnik, Abhishek Bhandwaldar, Akash Srivastava, Joni K. Pajarinen, Romain Laroche, Abhishek Gupta, Pulkit Agrawal

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

ICML 2023 On the Convergence of SARSA with Linear Function Approximation Shangtong Zhang, Remi Tachet Des Combes, Romain Laroche

ICML 2023 On the Occupancy Measure of Non-Markovian Policies in Continuous MDPs Romain Laroche, Remi Tachet Des Combes

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

TMLR 2023 Using Representation Expressiveness and Learnability to Evaluate Self-Supervised Learning Methods Yuchen Lu, Zhen Liu, Aristide Baratin, Romain Laroche, Aaron Courville, Alessandro Sordoni

AISTATS 2022 Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms Romain Laroche, Remi Tachet Des Combes

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 2022 When Does Return-Conditioned Supervised Learning Work for Offline Reinforcement Learning? David Brandfonbrener, Alberto Bietti, Jacob Buckman, Romain Laroche, Joan Bruna

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

NeurIPS 2021 Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs Harsh Satija, Philip S. Thomas, Joelle Pineau, Romain Laroche

NeurIPS 2020 Learning Dynamic Belief Graphs to Generalize on Text-Based Games Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikuláš Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, Will Hamilton

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

NeurIPS 2019 Budgeted Reinforcement Learning in Continuous State Space Nicolas Carrara, Edouard Leurent, Romain Laroche, Tanguy Urvoy, Odalric-Ambrym Maillard, Olivier Pietquin

ICML 2019 Decentralized Exploration in Multi-Armed Bandits Raphael Feraud, Reda Alami, Romain Laroche

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

AAAI 2018 On Value Function Representation of Long Horizon Problems Lucas Lehnert, Romain Laroche, Harm van Seijen

ICLR 2018 Reinforcement Learning Algorithm Selection Romain Laroche, Raphael Feraud

NeurIPS 2017 Hybrid Reward Architecture for Reinforcement Learning Harm Van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche, Tavian Barnes, Jeffrey Tsang

AAAI 2017 Transfer Reinforcement Learning with Shared Dynamics Romain Laroche, Merwan Barlier

IJCAI 2016 Reinforcement Learning for Turn-Taking Management in Incremental Spoken Dialogue Systems Hatim Khouzaimi, Romain Laroche, Fabrice Lefèvre