Paul Weng - RankMe

122 papers A* 21A 11B 2C 2Misc 1Journal 60Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Survey of Reinforcement Learning from Human Feedback. Trans. Mach. Learn. Res. Timo Kaufmann, Paul Weng, Viktor Bengs, Eyke Hüllermeier
2025	J	`jnl`	ASAP: Learning Generalizable Online Bin Packing via Adaptive Selection After Pruning. CoRR Han Fang, Paul Weng, Yutong Ban
2025	A*	`conf`	Comparing Comparisons: Informative and Easy Human Feedback with Distinguishability Queries. ICML Xuening Feng, Zhaohui Jiang, Timo Kaufmann, Eyke Hüllermeier, Paul Weng, Yifei Zhu
2025	A*	`conf`	DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning from Human Feedback. AAAI Xuening Feng, Zhaohui Jiang, Timo Kaufmann, Puchen Xu, Eyke Hüllermeier, Paul Weng, Yifei Zhu
2025	A*	`conf`	Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data. AAAI Shilong Deng, Zetao Zheng, Hongcai He, Paul Weng, Jie Shao
2025	J	`jnl`	Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data. CoRR Shilong Deng, Zetao Zheng, Hongcai He, Paul Weng, Jie Shao
2025	J	`jnl`	From fair solutions to compromise solutions in multi-objective deep reinforcement learning. Neural Comput. Appl. Junqi Qian, Umer Siddique, Guanbao Yu, Paul Weng
2025	J	`jnl`	Generalizable Coarse-to-Fine Robot Manipulation via Language-Aligned 3D Keypoints. CoRR Jianshu Hu, Lidi Wang, Shujia Li, Yunpeng Jiang, Xiao Li, Paul Weng, Yutong Ban
2025	J	`jnl`	Intervention Efficiency and Perturbation Validation Framework: Capacity-Aware and Robust Clinical Model Selection under the Rashomon Effect. CoRR Yuwen Zhang, Viet Tran, Paul Weng
2025	J	`jnl`	Learning to Cut Generation in Branch-and-Cut Algorithms for Combinatorial Optimization. ACM Trans. Evol. Learn. Optim. Thi Quynh Trang Vo, Mourad Baïou, Viet Hung Nguyen, Paul Weng
2025	—	`ed.`	Multi-disciplinary Trends in Artificial Intelligence - 17th International Conference, MIWAI 2024, Pattaya, Thailand, November 11-15, 2024, Proceedings, Part I MIWAI (1) Chattrakul Sombattheera, Paul Weng, Jun Pang
2025	—	`ed.`	Multi-disciplinary Trends in Artificial Intelligence - 17th International Conference, MIWAI 2024, Pattaya, Thailand, November 11-15, 2024, Proceedings, Part II MIWAI (2) Chattrakul Sombattheera, Paul Weng, Jun Pang
2025	J	`jnl`	OMP: One-step Meanflow Policy with Directional Alignment. CoRR Han Fang, Yize Huang, Yuheng Zhao, Paul Weng, Xiao Li, Yutong Ban
2025	A*	`conf`	Progressive Learning with Human Feedback for Personalized Adaptive Video Streaming. ACM Multimedia Zhaohui Jiang, Xuening Feng, Tianchi Huang, Ruixiao Zhang, Paul Weng, Yifei Zhu
2025	A*	`conf`	Reinforcement Learning from Imperfect Corrective Actions and Proxy Rewards. ICLR Zhaohui Jiang, Xuening Feng, Paul Weng, Yifei Zhu, Yan Song, Tianze Zhou, Yujing Hu, Tangjie Lv, Changjie Fan
2025	J	`jnl`	State-novelty guided action persistence in deep reinforcement learning. Mach. Learn. Jianshu Hu, Paul Weng, Yutong Ban
2025	J	`jnl`	Time Reversal Symmetry for Efficient Robotic Manipulations in Deep Reinforcement Learning. CoRR Yunpeng Jiang, Jianshu Hu, Paul Weng, Yutong Ban
2025	J	`jnl`	Understanding and Reducing the Class-Dependent Effects of Data Augmentation with A Two-Player Game Approach. Trans. Mach. Learn. Res. Yunpeng Jiang, Yutong Ban, Paul Weng
2024	J	`jnl`	A survey on interpretable reinforcement learning. Mach. Learn. Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu
2024	J	`jnl`	Enhancing Class Fairness in Classification with A Two-Player Game Approach. CoRR Yunpeng Jiang, Paul Weng, Yutong Ban
2024	J	`jnl`	Generalization in Deep RL for TSP Problems via Equivariance and Local Search. SN Comput. Sci. Wenbin Ouyang, Yisen Wang, Paul Weng, Shaochen Han
2024	A*	`conf`	INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer. ICML Han Fang, Zhihao Song, Paul Weng, Yutong Ban
2024	J	`jnl`	INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer. CoRR Han Fang, Zhihao Song, Paul Weng, Yutong Ban
2024	J	`jnl`	Imitation Learning from Suboptimal Demonstrations via Meta-Learning An Action Ranker. CoRR Jiangdong Fan, Hongcai He, Paul Weng, Hui Xu, Jie Shao
2024	J	`jnl`	Reinforcement Learning From Imperfect Corrective Actions And Proxy Rewards. CoRR Zhaohui Jiang, Xuening Feng, Paul Weng, Yifei Zhu, Yan Song, Tianze Zhou, Yujing Hu, Tangjie Lv, Changjie Fan
2024	A*	`conf`	Revisiting Data Augmentation in Deep Reinforcement Learning. ICLR Jianshu Hu, Yunpeng Jiang, Paul Weng
2024	J	`jnl`	Revisiting Data Augmentation in Deep Reinforcement Learning. CoRR Jianshu Hu, Yunpeng Jiang, Paul Weng
2024	J	`jnl`	State-Novelty Guided Action Persistence in Deep Reinforcement Learning. CoRR Jianshu Hu, Paul Weng, Yutong Ban
2024	J	`jnl`	Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning. CoRR Zhaohui Jiang, Paul Weng
2023	J	`jnl`	A Survey of Reinforcement Learning from Human Feedback. CoRR Timo Kaufmann, Paul Weng, Viktor Bengs, Eyke Hüllermeier
2023	J	`jnl`	Analytics and machine learning in vehicle routing research. Int. J. Prod. Res. Ruibin Bai, Xinan Chen, Zhi-Long Chen, Tianxiang Cui, Shuhui Gong, Wentao He, Xiaoping Jiang, Huan Jin, Jiahuan Jin, Graham Kendall, Jiawei Li, Zheng Lu, Jianfeng Ren, Paul Weng, Ning Xue, Huayan Zhang
2023	J	`jnl`	Differentiable Logic Machines. Trans. Mach. Learn. Res. Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Dong Li, Jianye Hao, Wulong Liu
2023	—	`conf`	Fair Deep Reinforcement Learning with Generalized Gini Welfare Functions. AAMAS Workshops Guanbao Yu, Umer Siddique, Paul Weng
2023	A	`conf`	Fair Deep Reinforcement Learning with Preferential Treatment. ECAI Guanbao Yu, Umer Siddique, Paul Weng
2023	—	`conf`	Improving Subtour Elimination Constraint Generation in Branch-and-Cut Algorithms for the TSP with Machine Learning. LION Thi Quynh Trang Vo, Mourad Baïou, Viet Hung Nguyen, Paul Weng
2023	A	`conf`	Learning Rewards to Optimize Global Performance Metrics in Deep Reinforcement Learning. AAMAS Junqi Qian, Paul Weng, Chenmien Tan
2023	J	`jnl`	Learning Rewards to Optimize Global Performance Metrics in Deep Reinforcement Learning. CoRR Junqi Qian, Paul Weng, Chenmien Tan
2023	—	`conf`	Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning. ECML/PKDD (4) Zhaohui Jiang, Paul Weng
2022	—	`conf`	A comparative study of linearization methods for Ordered Weighted Average. RNDM Thi Quynh Trang Vo, Mourad Baïou, Viet Hung Nguyen, Paul Weng
2022	C	`conf`	CVaR-Regret Bounds for Multi-armed Bandits. ACML Chenmien Tan, Paul Weng
2022	A*	`conf`	Neuro-Symbolic Hierarchical Rule Induction. ICML Claire Glanois, Zhaohui Jiang, Xuening Feng, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu, Jianye Hao
2022	—	`conf`	Planning with Q-Values in Sparse Reward Reinforcement Learning. ICIRA (1) Hejun Lei, Paul Weng, Juan Rojas, Yisheng Guan
2022	Misc	`conf`	Solving Complex Manipulation Tasks with Model-Assisted Model-Free Reinforcement Learning. CoRL Jianshu Hu, Paul Weng
2021	J	`jnl`	A Survey on Interpretable Reinforcement Learning. CoRR Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu
2021	J	`jnl`	Analytics and Machine Learning in Vehicle Routing Research. CoRR Ruibin Bai, Xinan Chen, Zhi-Long Chen, Tianxiang Cui, Shuhui Gong, Wentao He, Xiaoping Jiang, Huan Jin, Jiahuan Jin, Graham Kendall, Jiawei Li, Zheng Lu, Jianfeng Ren, Paul Weng, Ning Xue, Huayan Zhang
2021	J	`jnl`	Differentiable Logic Machines. CoRR Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Jianye Hao, Dong Li, Wulong Liu
2021	J	`jnl`	Generalization in Deep RL for TSP Problems via Equivariance and Local Search. CoRR Wenbin Ouyang, Yisen Wang, Paul Weng, Shaochen Han
2021	J	`jnl`	Hyperparameter Auto-Tuning in Self-Supervised Robotic Learning. IEEE Robotics Autom. Lett. Jiancong Huang, Juan Rojas, Matthieu Zimmer, Hongmin Wu, Yisheng Guan, Paul Weng
2021	—	`conf`	Improving Generalization of Deep Reinforcement Learning-based TSP Solvers. SSCI Wenbin Ouyang, Yisen Wang, Shaochen Han, Zhejian Jin, Paul Weng
2021	J	`jnl`	Improving Generalization of Deep Reinforcement Learning-based TSP Solvers. CoRR Wenbin Ouyang, Yisen Wang, Shaochen Han, Zhejian Jin, Paul Weng
2021	A*	`conf`	Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning. ICML Matthieu Zimmer, Claire Glanois, Umer Siddique, Paul Weng
2021	J	`jnl`	Learning Symbolic Rules for Interpretable Deep Reinforcement Learning. CoRR Zhihao Ma, Yuzheng Zhuang, Paul Weng, Hankz Hankui Zhuo, Dong Li, Wulong Liu, Jianye Hao
2021	J	`jnl`	Neuro-Symbolic Hierarchical Rule Induction. CoRR Claire Glanois, Xuening Feng, Zhaohui Jiang, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu
2021	—	`conf`	Safe Distributional Reinforcement Learning. DAI Jianyi Zhang, Paul Weng
2021	J	`jnl`	Safe Distributional Reinforcement Learning. CoRR Jianyi Zhang, Paul Weng
2020	A	`conf`	Decomposed Deep Reinforcement Learning for Robotic Control. AAMAS Yinzhao Dong, Chao Yu, Paul Weng, Ahmed Maustafa, Hui Cheng, Hongwei Ge
2020	J	`jnl`	Hyperparameter Auto-tuning in Self-Supervised Robotic Learning. CoRR Jiancong Huang, Juan Rojas, Matthieu Zimmer, Hongmin Wu, Yisheng Guan, Paul Weng
2020	J	`jnl`	Invariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning. IEEE Robotics Autom. Lett. Yijiong Lin, Jiancong Huang, Matthieu Zimmer, Yisheng Guan, Juan Rojas, Paul Weng
2020	J	`jnl`	Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning. CoRR Matthieu Zimmer, Umer Siddique, Paul Weng
2020	A*	`conf`	Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards. ICML Umer Siddique, Paul Weng, Matthieu Zimmer
2020	J	`jnl`	Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards. CoRR Umer Siddique, Paul Weng, Matthieu Zimmer
2020	—	`ch.`	Reinforcement Learning. A Guided Tour of Artificial Intelligence Research (1) (I) Olivier Buffet, Olivier Pietquin, Paul Weng
2020	J	`jnl`	Reinforcement Learning. CoRR Olivier Buffet, Olivier Pietquin, Paul Weng
2019	—	`conf`	An efficient reinforcement learning algorithm for learning deterministic policies in continuous domains. DAI Matthieu Zimmer, Paul Weng
2019	A*	`conf`	Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems. WWW Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Peng He, Paul Weng, Han Gao, Guihai Chen
2019	J	`jnl`	Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems. CoRR Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Peng He, Paul Weng, Han Gao, Guihai Chen
2019	A*	`conf`	Dual Sequential Prediction Models Linking Sequential Recommendation and Information Dissemination. KDD Qitian Wu, Yirui Gao, Xiaofeng Gao, Paul Weng, Guihai Chen
2019	A*	`conf`	Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains. IJCAI Matthieu Zimmer, Paul Weng
2019	J	`jnl`	Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains. CoRR Matthieu Zimmer, Paul Weng
2019	J	`jnl`	Fairness in Reinforcement Learning. CoRR Paul Weng
2019	J	`jnl`	Invariant Transform Experience Replay. CoRR Yijiong Lin, Jiancong Huang, Matthieu Zimmer, Juan Rojas, Paul Weng
2019	J	`jnl`	Towards More Sample Efficiency in Reinforcement Learning with Data Augmentation. CoRR Yijiong Lin, Jiancong Huang, Matthieu Zimmer, Juan Rojas, Paul Weng
2018	A	`conf`	Adversarial Training Model Unifying Feature Driven and Point Process Perspectives for Event Popularity Prediction. CIKM Qitian Wu, Chaoqi Yang, Hengrui Zhang, Xiaofeng Gao, Paul Weng, Guihai Chen
2018	J	`jnl`	An Efficient Primal-Dual Algorithm for Fair Combinatorial Optimization Problems. CoRR Viet Hung Nguyen, Paul Weng
2018	J	`jnl`	Hierarchical Electric Vehicle Charging Aggregator Strategy Using Dantzig-Wolfe Decomposition. IEEE Des. Test M. Hadi Amini, Paul McNamara, Paul Weng, Orkun Karabasoglu, Yinliang Xu
2018	C	`conf`	Mediation of Debates with Dynamic Argumentative Behaviors. COMMA Emmanuel Hadoux, Aurélie Beynier, Nicolas Maudet, Paul Weng
2018	B	`conf`	Representing Relative Visual Attributes with a Reference-Point-Based Decision Model. ICPR Marc T. Law, Paul Weng
2017	—	`conf`	An Efficient Primal-Dual Algorithm for Fair Combinatorial Optimization Problems. COCOA (1) Viet Hung Nguyen, Paul Weng
2017	J	`jnl`	Finding Risk-Averse Shortest Path with Time-dependent Stochastic Costs. CoRR Dajian Li, Paul Weng, Orkun Karabasoglu
2017	J	`jnl`	From Preference-Based to Multiobjective Sequential Decision-Making. CoRR Paul Weng
2017	J	`jnl`	Functional Reward Markov Decision Processes: Theory and Applications. Int. J. Artif. Intell. Tools Paul Weng, Olivier Spanjaard
2017	A*	`conf`	Multi-objective Bandits: Optimizing the Generalized Gini Index. ICML Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Shie Mannor
2017	J	`jnl`	Multi-objective Bandits: Optimizing the Generalized Gini Index. CoRR Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Shie Mannor
2017	J	`jnl`	Optimal Threshold Policies for Robust Data Center Control. CoRR Paul Weng, Zeqi Qiu, John A. W. B. Costanzo, Xiaoqi Yin, Bruno Sinopoli
2017	A*	`conf`	Optimizing Quantiles in Preference-Based Markov Decision Processes. AAAI Hugo Gilbert, Paul Weng, Yan Xu
2016	—	`conf`	Finding Risk-Averse Shortest Path with Time-Dependent Stochastic Costs. MIWAI Dajian Li, Paul Weng, Orkun Karabasoglu
2016	—	`conf`	From Preference-Based to Multiobjective Sequential Decision-Making. MIWAI Paul Weng
2016	A	`conf`	Model-Free Reinforcement Learning with Skew-Symmetric Bilinear Utilities. UAI Hugo Gilbert, Bruno Zanuttini, Paul Weng, Paolo Viappiani, Esther Nicart
2016	J	`jnl`	Optimizing Quantiles in Preference-based Markov Decision Processes. CoRR Hugo Gilbert, Paul Weng, Yan Xu
2016	J	`jnl`	Quantile Reinforcement Learning. CoRR Hugo Gilbert, Paul Weng
2015	A*	`conf`	Optimization of Probabilistic Argumentation with Markov Decision Models. IJCAI Emmanuel Hadoux, Aurélie Beynier, Nicolas Maudet, Paul Weng, Anthony Hunter
2015	A*	`conf`	Qualitative Multi-Armed Bandits: A Quantile-Based Approach. ICML Balázs Szörényi, Róbert Busa-Fekete, Paul Weng, Eyke Hüllermeier
2015	—	`conf`	Reducing the Number of Queries in Interactive Value Iteration. ADT Hugo Gilbert, Olivier Spanjaard, Paolo Viappiani, Paul Weng
2015	J	`jnl`	Reports of the AAAI 2014 Conference Workshops. AI Mag. Stefano V. Albrecht, André da Motta Salles Barreto, Darius Braziunas, David L. Buckeridge, Heriberto Cuayáhuitl, Nina Dethlefs, Markus Endres, Amir-massoud Farahmand, Mark Fox, Lutz Frommberger, Sam Ganzfried, Yolanda Gil, Sébastien Guillet, Lawrence E. Hunter, Arnav Jhala, Kristian Kersting, George Dimitri Konidaris, Freddy Lécué, Sheila A. McIlraith, Sriraam Natarajan, Zeinab Noorian, David Poole, Rémi Ronfard, Alessandro Saffiotti, Arash Shaban-Nejad, Biplav Srivastava, Gerald Tesauro, Rosario Uceda-Sosa, Guy Van den Broeck, Martijn van Otterlo, Byron C. Wallace, Paul Weng, Jenna Wiens, Jie Zhang
2015	A*	`conf`	Solving MDPs with Skew Symmetric Bilinear Utility Functions. IJCAI Hugo Gilbert, Olivier Spanjaard, Paolo Viappiani, Paul Weng
2014	—	`ed.`	Multi-disciplinary Trends in Artificial Intelligence - 8th International Workshop, MIWAI 2014, Bangalore, India, December 8-10, 2014. Proceedings MIWAI M. Narasimha Murty, Xiangjian He, Chillarige Raghavendra Rao, Paul Weng
2014	—	`ed.`	Multidisciplinary Workshop on Advances in Preference Handling, Papers from the 2014 AAAI Workshop, MPREF@AAAI, July 28, 2014, Quebec City, Canada MPREF@AAAI Darius Braziunas, Markus Endres, K. Brent Venable, Paul Weng, Lirong Xia
2014	—	`conf`	Preface. MPREF@AAAI Darius Braziunas, Markus Endres, K. Brent Venable, Paul Weng, Lirong Xia
2014	J	`jnl`	Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm. Mach. Learn. Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Weiwei Cheng, Eyke Hüllermeier
2014	—	`conf`	Solving Hidden-Semi-Markov-Mode Markov Decision Problems. SUM Emmanuel Hadoux, Aurélie Beynier, Paul Weng
2013	J	`jnl`	A Compromise Programming Approach to multiobjective Markov Decision Processes. Int. J. Inf. Technol. Decis. Mak. Wlodzimierz Ogryczak, Patrice Perny, Paul Weng
2013	—	`conf`	Approximation of Lorenz-Optimal Solutions in Multiobjective Markov Decision Processes. AAAI (Late-Breaking Developments) Patrice Perny, Paul Weng, Judy Goldsmith, Josiah Hanna
2013	A	`conf`	Approximation of Lorenz-Optimal Solutions in Multiobjective Markov Decision Processes. UAI Patrice Perny, Paul Weng, Judy Goldsmith, Josiah Hanna
2013	J	`jnl`	Approximation of Lorenz-Optimal Solutions in Multiobjective Markov Decision Processes. CoRR Patrice Perny, Paul Weng, Judy Goldsmith, Josiah Hanna
2013	—	`conf`	Axiomatic Foundations of Generalized Qualitative Utility. MIWAI Paul Weng
2013	A*	`conf`	Interactive Value Iteration for Markov Decision Processes with Unknown Rewards. IJCAI Paul Weng, Bruno Zanuttini
2013	—	`conf`	Markov Decision Processes with Functional Rewards. MIWAI Olivier Spanjaard, Paul Weng
2013	—	`conf`	Top-k Selection based on Adaptive Sampling of Noisy Preferences. ICML (3) Róbert Busa-Fekete, Balázs Szörényi, Weiwei Cheng, Paul Weng, Eyke Hüllermeier
2012	J	`jnl`	Axiomatic Foundations for a Class of Generalized Expected Utility: Algebraic Expected Utility. CoRR Paul Weng
2012	B	`conf`	On WOWA Rank Reversal. MDAI Wlodzimierz Ogryczak, Patrice Perny, Paul Weng
2012	A	`conf`	Ordinal Decision Models for Markov Decision Processes. ECAI Paul Weng
2012	J	`jnl`	Qualitative Decision Making Under Possibilistic Uncertainty: Toward more discriminating criteria CoRR Paul Weng
2011	—	`conf`	Committee Selection with a Weight Constraint Based on a Pairwise Dominance Relation. ADT Charles Delort, Olivier Spanjaard, Paul Weng
2011	A*	`conf`	Markov Decision Processes with Ordinal Rewards: Reference Point-Based Preferences. ICAPS Paul Weng
2011	—	`conf`	On Minimizing Ordered Weighted Regrets in Multiobjective Markov Decision Processes. ADT Wlodzimierz Ogryczak, Patrice Perny, Paul Weng
2010	A	`conf`	On Finding Compromise Solutions in Multiobjective Markov Decision Processes. ECAI Patrice Perny, Paul Weng
2007	J	`jnl`	Conditions générales pour l'admissibilité de la programmation dynamique dans la décision séquentielle possibiliste. Rev. d'Intelligence Artif. Paul Weng
2006	A	`conf`	An Axiomatic Approach in Qualitative Decision Theory with Binary Possibilistic Utility. ECAI Paul Weng
2006	A	`conf`	Axiomatic Foundations for a Class of Generalized Expected Utility: Algebraic Expected Utility. UAI Paul Weng
2006	J	`jnl`	Processus de décision markoviens et préférences non classiques. Rev. d'Intelligence Artif. Paul Weng
2005	A*	`conf`	Algebraic Markov Decision Processes. IJCAI Patrice Perny, Olivier Spanjaard, Paul Weng
2005	A	`conf`	Qualitative Decision Making Under Possibilistic Uncertainty: Toward more Discriminating Criteria. UAI Paul Weng