Boulet, Benoit

8 publications

TMLR 2025 DRDT3: Diffusion-Refined Decision Test-Time Training Model Xingshuai Huang, Di Wu, Benoit Boulet

TMLR 2025 Goal-Conditioned Data Augmentation for Offline Reinforcement Learning Xingshuai Huang, Di Wu, Benoit Boulet

CLeaR 2025 MXMap: A Multivariate Cross Mapping Framework for Causal Discovery in Dynamical Systems Elise Zhang, François Mirallès, Raphaël Rousseau-Rizzi, Arnaud Zinflou, Di Wu, Benoit Boulet

ICML 2024 FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning Yuwei Fu, Haichao Zhang, Di Wu, Wei Xu, Benoit Boulet

NeurIPS 2024 Robot Policy Learning with Temporal Optimal Transport Reward Yuwei Fu, Haichao Zhang, Di Wu, Wei Xu, Benoit Boulet

NeurIPS 2022 A Closer Look at Offline RL Agents Yuwei Fu, Di Wu, Benoit Boulet

AAAI 2022 Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting Yuwei Fu, Di Wu, Benoit Boulet

ECML-PKDD 2017 Boosting Based Multiple Kernel Learning and Transfer Regression for Electricity Load Forecasting Di Wu, Boyu Wang, Doina Precup, Benoit Boulet