| 2025 | AAAI | Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data. | Shilong Deng, Zetao Zheng, Hongcai He, Paul Weng, Jie Shao |
| 2025 | AAAI | DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning from Human Feedback. | Xuening Feng, Zhaohui Jiang, Timo Kaufmann, Puchen Xu, Eyke Hllermeier, Paul Weng, Yifei Zhu |
| 2025 | ICLR | Reinforcement Learning from Imperfect Corrective Actions and Proxy Rewards. | Zhaohui Jiang, Xuening Feng, Paul Weng, Yifei Zhu, Yan Song, Tianze Zhou, Yujing Hu, Tangjie Lv, Changjie Fan |
| 2025 | ICML | Comparing Comparisons: Informative and Easy Human Feedback with Distinguishability Queries. | Xuening Feng, Zhaohui Jiang, Timo Kaufmann, Eyke Hllermeier, Paul Weng, Yifei Zhu |
| 2024 | ICLR | Revisiting Data Augmentation in Deep Reinforcement Learning. | Jianshu Hu, Yunpeng Jiang, Paul Weng |
| 2024 | ICML | INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer. | Han Fang, Zhihao Song, Paul Weng, Yutong Ban |
| 2023 | ECAI | Fair Deep Reinforcement Learning with Preferential Treatment. | Guanbao Yu, Umer Siddique, Paul Weng |
| 2022 | ACML | CVaR-Regret Bounds for Multi-armed Bandits. | Chenmien Tan, Paul Weng |
| 2022 | CoRL | Solving Complex Manipulation Tasks with Model-Assisted Model-Free Reinforcement Learning. | Jianshu Hu, Paul Weng |
| 2022 | ICML | Neuro-Symbolic Hierarchical Rule Induction. | Claire Glanois, Zhaohui Jiang, Xuening Feng, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu, Jianye Hao |
| 2021 | ICML | Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning. | Matthieu Zimmer, Claire Glanois, Umer Siddique, Paul Weng |
| 2020 | ICML | Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards. | Umer Siddique, Paul Weng, Matthieu Zimmer |
| 2019 | IJCAI | Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains. | Matthieu Zimmer, Paul Weng |
| 2019 | KDD | Dual Sequential Prediction Models Linking Sequential Recommendation and Information Dissemination. | Qitian Wu, Yirui Gao, Xiaofeng Gao, Paul Weng, Guihai Chen |
| 2019 | WWW | Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems. | Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Peng He, Paul Weng, Han Gao, Guihai Chen |
| 2018 | CIKM | Adversarial Training Model Unifying Feature Driven and Point Process Perspectives for Event Popularity Prediction. | Qitian Wu, Chaoqi Yang, Hengrui Zhang, Xiaofeng Gao, Paul Weng, Guihai Chen |
| 2018 | COMMA | Mediation of Debates with Dynamic Argumentative Behaviors. | Emmanuel Hadoux, Aurlie Beynier, Nicolas Maudet, Paul Weng |
| 2018 | ICPR | Representing Relative Visual Attributes with a Reference-Point-Based Decision Model. | Marc T. Law, Paul Weng |
| 2017 | AAAI | Optimizing Quantiles in Preference-Based Markov Decision Processes. | Hugo Gilbert, Paul Weng, Yan Xu |
| 2017 | COCOA | An Efficient Primal-Dual Algorithm for Fair Combinatorial Optimization Problems. | Viet Hung Nguyen, Paul Weng |
| 2017 | ICML | Multi-objective Bandits: Optimizing the Generalized Gini Index. | Rbert Busa-Fekete, Balzs Szrnyi, Paul Weng, Shie Mannor |
| 2016 | UAI | Model-Free Reinforcement Learning with Skew-Symmetric Bilinear Utilities. | Hugo Gilbert, Bruno Zanuttini, Paul Weng, Paolo Viappiani, Esther Nicart |
| 2015 | ICML | Qualitative Multi-Armed Bandits: A Quantile-Based Approach. | Balzs Szrnyi, Rbert Busa-Fekete, Paul Weng, Eyke Hllermeier |
| 2015 | IJCAI | Solving MDPs with Skew Symmetric Bilinear Utility Functions. | Hugo Gilbert, Olivier Spanjaard, Paolo Viappiani, Paul Weng |
| 2015 | IJCAI | Optimization of Probabilistic Argumentation with Markov Decision Models. | Emmanuel Hadoux, Aurlie Beynier, Nicolas Maudet, Paul Weng, Anthony Hunter |
| 2014 | AAAI | Preface. | Darius Braziunas, Markus Endres, K. Brent Venable, Paul Weng, Lirong Xia |
| 2013 | AAAI | Approximation of Lorenz-Optimal Solutions in Multiobjective Markov Decision Processes. | Patrice Perny, Paul Weng, Judy Goldsmith, Josiah Hanna |
| 2013 | ICML | Top-k Selection based on Adaptive Sampling of Noisy Preferences. | Rbert Busa-Fekete, Balzs Szrnyi, Weiwei Cheng, Paul Weng, Eyke Hllermeier |
| 2013 | IJCAI | Interactive Value Iteration for Markov Decision Processes with Unknown Rewards. | Paul Weng, Bruno Zanuttini |
| 2013 | UAI | Approximation of Lorenz-Optimal Solutions in Multiobjective Markov Decision Processes. | Patrice Perny, Paul Weng, Judy Goldsmith, Josiah Hanna |
| 2012 | ECAI | Ordinal Decision Models for Markov Decision Processes. | Paul Weng |
| 2012 | MDAI | On WOWA Rank Reversal. | Wlodzimierz Ogryczak, Patrice Perny, Paul Weng |
| 2010 | ECAI | On Finding Compromise Solutions in Multiobjective Markov Decision Processes. | Patrice Perny, Paul Weng |
| 2006 | ECAI | An Axiomatic Approach in Qualitative Decision Theory with Binary Possibilistic Utility. | Paul Weng |
| 2006 | UAI | Axiomatic Foundations for a Class of Generalized Expected Utility: Algebraic Expected Utility. | Paul Weng |
| 2005 | IJCAI | Algebraic Markov Decision Processes. | Patrice Perny, Olivier Spanjaard, Paul Weng |
| 2005 | UAI | Qualitative Decision Making Under Possibilistic Uncertainty: Toward more Discriminating Criteria. | Paul Weng |