DKU
Duke University
News:
2025
Conference Proceedings GILD: Generalized Imitation Learning from Demonstration for Reinforcement Learning Deng, Shilong; Zheng, Zetao; He, Hongcai; Weng, Paul; Shao, Jie; AAAI 2025 BibTex Conference Proceedings DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning from Human Feedback Feng, Xuening; Jiang, Zhaohui; Kaufmann, Timo; Xu, Puchen; Hüllermeier, Eyke; Weng, Paul; Zhu, Yifei; AAAI 2025 BibTex
2024
Conference Proceedings INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer Fang, Han; Song, Zhihao; Weng, Paul; Ban, Yutong; ICML 2024 pdf BibTex Conference Proceedings Comparing Comparisons: Informative and Easy Human Feedback with Distinguishability Queries Feng, Xuening; Jiang, Zhaohui; Kaufmann, Timo; Hüllermeier, Eyke; Weng, Paul; Zhu, Yifei; ICML 2024 Workshop MHFAIA 2024 BibTex Journal Article A Survey on Interpretable Reinforcement Learning Glanois, Claire; Weng, Paul; Zimmer, Matthieu; Li, Dong; Yang, Tianpei; Hao, Jianye; Liu, Wulong; Machine Learning 2024 pdf BibTex Conference Proceedings Revisiting Data Augmentation in Deep Reinforcement Learning Hu, Jianshu; Jiang, Yunpeng; Weng, Paul; ICLR 2024 pdf BibTex Journal Article State-Novelty Guided Action Persistence in Deep Reinforcement Learning Hu, Jianshu; Weng, Paul; Ban, Yutong; Machine Learning 2024 BibTex Journal Article Generalization in Deep RL for TSP Problems via Equivariance and Local Search Ouyang, Wenbin; Wang, Yisen; Weng, Paul; Han, Shaochen; SN Computer Science 2024 pdf BibTex Journal Article From Fair Solutions to Compromise Solutions in Multi-Objective Deep Reinforcement Learning Qian, Junqi; Siddique, Umer; Yu, Guanbao; Weng, Paul; Neural Computing and Applications 2024 BibTex
2023
Conference Proceedings Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning Jiang, Zhaohui; Weng, Paul; ECML/PKDD 2023 BibTex Conference Proceedings Learning Rewards to Optimize Global Performance Metrics in Deep Reinforcement Learning Qian, Junqi; Weng, Paul; Tan, Chenmien; AAMAS 2023 pdf BibTex Conference Proceedings Improving Subtour Elimination Constraint Generation in Branch-and-Cut Algorithms for the TSP with Machine Learning Vo, Thi Quynh Trang; Baiou, Mourad; Nguyen, Viet Hung; Weng, Paul; LION 2023 pdf BibTex Journal Article Accelerated discovery of magnesium intermetallic compounds with sluggish corrosion cathodic reactions through active learning and DFT calculations Wang, Yaowei; Tang, Qingli; Xu, Xinchen; Weng, Paul; Ying, Tao; Yang, Yao; Zeng, Xiaoqin; Zhu, Hong; Acta Materialia 2023 BibTex Conference Proceedings Planning with Non-Linear Objective Functions in Partially Observable Domains Yu, Guanbao; Qian, Junqi; Weng, Paul; International Workshop on Search and Planning with Complex Objectives (WoSePCO) 2023 BibTex Conference Proceedings Fair Deep Reinforcement Learning with Preferential Treatment Yu, Guanbao; Siddique, Umer; Weng, Paul; ECAI 2023 pdf BibTex Conference Proceedings Fair Deep Reinforcement Learning with Generalized Gini Welfare Functions Yu, Guanbao; Siddique, Umer; Weng, Paul; Adaptive and Learning Agents (ALA) Workshop 2023 pdf BibTex Journal Article Differentiable Logic Machines Zimmer, Matthieu; Feng, Xuening; Glanois, Claire; Jiang, Zhaohui; Zhang, Jianyi; Weng, Paul; Li, Dong; Hao, Jianye; Liu, Wulong; Transactions on Machine Learning Research 2023 pdf BibTex
2022
Conference Proceedings Neuro-Symbolic Hierarchical Rule Induction Glanois, Claire; Jiang, Zhaohui; Feng, Xuening; Weng, Paul; Zimmer, Matthieu; Li, Dong; Liu, Wulong; Hao, Jianye; ICML 2022 pdf BibTex Conference Proceedings Solving Complex Manipulation Tasks with Model-Assisted Model-Free Reinforcement Learning Hu, Jianshu; Weng, Paul; CoRL 2022 pdf BibTex Conference Proceedings Planning with Q-values in Sparse Reward Reinforcement Learning Lei, Hejun; Weng, Paul; Rojas, Juan; Guan, Yisheng; ICIRA 2022 BibTex Conference Proceedings An Interpretable Deep Reinforcement Learning Approach to Autonomous Driving Song, Zhihao; Jiang, Yunpeng; Zhang, Jianyi; Weng, Paul; Li, Dong; Liu, Wulong; Hao, Jianye; AI4AD @ IJCAI-ECAI 2022 BibTex Conference Proceedings CVaR-Regret Bounds for Multi-Armed Bandits Tan, Chenmien; Weng, Paul; ACML 2022 pdf BibTex Conference Proceedings A comparative study of linearization methods for Ordered Weighted Average Vo, Trang T. Q.; Baiou, Mourad; Nguyen, Viet Hung; Weng, Paul; 12th International Workshop on Resilient Networks Design and Modeling 2022 BibTex
2021
Journal Article Analytics and Machine Learning in Vehicle Routing Research Bai, Ruibin; Chen, Xinan; Chen, Zhi-Long; Cui, Tianxiang; Gong, Shuhui; He, Wentao; Jiang, Xiaoping; Jin, Huan; Jin, Jiahuan; Kendall, Graham; Li, Jiawei; Lu, Zheng; Ren, Jianfeng; Weng, Paul; Xue, Ning; Zhang, Huayan; International Journal of Production Research 2021 pdf BibTex Journal Article Hyperparameter Auto-tuning in Self-Supervised Robotic Learning Huang, Jiancong; Rojas, Juan; Zimmer, Matthieu; Wu, Hongmin; Guan, Yisheng; Weng, Paul; IEEE Robotics and Automation Letters and ICRA 2021 pdf BibTex Conference Proceedings Improving Generalization of Deep Reinforcement Learning-based TSP Solvers Ouyang, Wenbin; Wang, Yisen; Han, Shaochen; Jin, Zhejian; Weng, Paul; IEEE SSCI ADPRL 2021 pdf BibTex Conference Proceedings Safe Distributional Reinforcement Learning Zhang, Jianyi; Weng, Paul; International Conference on Distributed Artificial Intelligence (DAI) 2021 pdf BibTex Conference Proceedings Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning Zimmer, Matthieu; Glanois, Claire; Siddique, Umer; Weng, Paul; ICML 2021 pdf BibTex
2020
Book Section Reinforcement Learning Buffet, Olivier; Pietquin, Olivier; Weng, Paul; A Guided Tour of Artificial Intelligence Research 2020 pdf BibTex Conference Proceedings Hyperparameter Auto-tuning in Self-Supervised Robotic Learning Huang, Jiancong; Rojas, Juan; Zimmer, Matthieu; Wu, Hongmin; Guan, Yisheng; Weng, Paul; Deep Reinforcement Learning Workshop at NeurIPS 2020 2020 pdf BibTex Journal Article Invariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning Lin, Yijiong; Huang, Jiancong; Zimmer, Matthieu; Guan, Yisheng; Rojas, Juan; Weng, Paul; IEEE Robotics and Automation Letters and IROS 2020 pdf BibTex Conference Proceedings Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards Siddique, Umer; Weng, Paul; Zimmer, Matthieu; ICML 2020 pdf BibTex Conference Proceedings Decomposed Deep Reinforcement Learning for Robotic Control Yu, Chao; Dong, Yinzhao; Weng, Paul; Maustafa, Ahmed; Cheng, Hui; Ge, Hongwei; AAMAS (extended abstract) 2020 pdf BibTex
2019
Conference Proceedings Towards More Sample Efficiency in Reinforcement Learning with Data Augmentation Lin, Yijiong; Huang, Jiancong; Zimmer, Matthieu; Rojas, Juan; Weng, Paul; NeurIPS Workshop on Robot Learning 2019 pdf BibTex Conference Proceedings Advanced Ordering Search for Multi-level Approximate Logic Synthesis Meng, Chang; Weng, Paul; Su, Sanbao; Qian, Weikang; IWLS 2019 pdf BibTex Conference Proceedings Fairness in Reinforcement Learning Weng, Paul; AI for Social Good Workshop at IJCAI 2019 pdf BibTex Conference Proceedings Dual Sequential Prediction Models Linking Sequential Recommendation and Information Dissemination Wu, Qitian; Gao, Yirui; Gao, Xiaofeng; Weng, Paul; Chen, Guihai; KDD 2019 pdf BibTex Conference Proceedings Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems Wu, Qitian; Zhang, Hengrui; Gao, Xiaofeng; He, Peng; Weng, Paul; Gao, Han; Chen, Guihai; WWW 2019 pdf BibTex Book Section A Hierarchical Approach Based on the Frank-Wolfe Algorithm and Dantzig-Wolfe Decomposition for Solving Large Economic Dispatch Problems in Smart Grids Zhang, Jianyi; Amini, M. Hadi; Weng, Paul; Smart Microgrids: From Design to Laboratory-Scale Implementation 2019 BibTex Conference Proceedings An Efficient Reinforcement Learning Algorithm for Learning Deterministic Policies in Continuous Domains Zimmer, Matthieu; Weng, Paul; DAI 2019 pdf BibTex Conference Proceedings Exploiting the sign of the advantage function to learn deterministic policies in continuous domains Zimmer, Matthieu; Weng, Paul; IJCAI 2019 pdf BibTex
2018
Book Section Decomposition Methods for Distributed Optimal Power Flow: Panorama and Case Studies of the DC Model Amini, M. Hadi; Bahrami, Shahab; Kamyab, Farhad; Mishra, Sakshi; Jaddivada, Rupamathi; Boroojeni, Kianoosh; Weng, Paul; Xu, Yinliang; Classical and Recent Aspects of Power System Optimization 2018 pdf BibTex Conference Proceedings Mediation of Debates with Dynamic Argumentative Behaviors Hadoux, Emmanuel; Beynier, Aurélie; Maudet, Nicolas; Weng, Paul; International Conference on Computational Models of Argument 2018 pdf BibTex Conference Proceedings Representing Relative Visual Attributes with a Reference-Point-Based Decision Model Law, Marc; Weng, Paul; ICPR 2018 BibTex Journal Article Optimal Threshold Policies for Robust Data Center Control Weng, Paul; Qiu, Zeqi; Costanzo, John; Yin, Xiaoqi; Sinopoli, Bruno; Journal of Shanghai Jiao Tong University 2018 pdf BibTex Conference Proceedings Adversarial Training Model Unifying Feature Driven and Point Process Perspectives for Event Popularity Prediction Wu, Qitian; Yang, Chaoqi; Zhang, Hengrui; Gao, Xiaofeng; Weng, Paul; Chen, Guihai; CIKM 2018 pdf BibTex
2017
Journal Article Hierarchical Electric Vehicle Charging Aggregator Strategy Using Dantzig-Wolfe Decomposition Amini, M. Hadi; McNamara, Paul; Weng, Paul; Karabasoglu, Orkun; Xu, Yinliang; IEEE Design & Test 2017 BibTex Conference Proceedings Multi-objective Bandits: Optimizing the Generalized Gini Index Busa-Fekete, Róbert; Szörenyi, Balázs; Weng, Paul; Mannor, Shie; ICML 2017 pdf BibTex Conference Proceedings Optimizing Quantiles in Preference-based Markov Decision Processes Gilbert, Hugo; Weng, Paul; Xu, Yan; AAAI Conference on Artificial Intelligence 2017 pdf BibTex Conference Proceedings An Efficient Primal-Dual Algorithm for Fair Combinatorial Optimization Problems Nguyen, Viet Hung; Weng, Paul; COCOA 2017 pdf BibTex Conference Proceedings Optimal Threshold Policies for Robust Data Center Control Weng, Paul; Qiu, Zeqi; Costanzo, John; Yin, Xiaoqi; Sinopoli, Bruno; AETA 2017, Lecture Notes in Electrical Engineering series 2017 pdf BibTex Journal Article Functional Reward Markov Decision Processes: Theory and Applications Weng, Paul; Spanjaard, Olivier; International Journal on Artificial Intelligence Tools 2017 pdf BibTex
2016
Conference Proceedings Optimizing the Generalized Gini Index in Multi-objective Bandits Busa-Fekete, Róbert; Weng, Paul; Karabasoglu, Orkun; Szörenyi, Balázs; EURO mini conference: DA2PL (From Multiple Criteria Decision Aid to Preference Learning) 2016 pdf BibTex Conference Proceedings Quantile Reinforcement Learning Gilbert, Hugo; Weng, Paul; Asian Workshop on Reinforcement Learning 2016 pdf BibTex Conference Proceedings Model-Free Reinforcement Learning with Skew-Symmetric Bilinear Utilities Gilbert, Hugo; Zanuttini, Bruno; Viappiani, Paolo; Weng, Paul; Nicart, Esther; International Conference on Uncertainty in Artificial Intelligence (UAI) 2016 pdf BibTex Conference Proceedings Finding Risk-averse Shortest Path with Time-dependent Stochastic Costs Li, Dajian; Weng, Paul; Karabasoglu, Orkun; Multi-Disciplinary International Workshop on Artificial Intelligence (MIWAI) Lecture Notes in Artificial Intelligence 2016 pdf BibTex Conference Proceedings Efficient Algorithm for Fair Perfect Matching Nguyen, Viet Hung; Weng, Paul; PGMO Days 2016 BibTex Conference Proceedings Single-peakedness Based on the Net Preference Matrix: Characterization and Algorithms Spanjaard, Olivier; Weng, Paul; International Workshop on Computational Social Choice (COMSOC) 2016 pdf BibTex Conference Proceedings From Preference-based to Multiobjective Sequential Decision-making Weng, Paul; Multi-Disciplinary International Workshop on Artificial Intelligence (MIWAI) Lecture Notes in Artificial Intelligence 2016 pdf BibTex
2015
Conference Proceedings Processus décisionnels de Markov avec un tournoi valué sur les politiques Gilbert, Hugo; Spanjaard, Olivier; Viappiani, Paolo; Weng, Paul; ROADEF 2015 BibTex Conference Proceedings Reducing the Number of Queries in Interactive Value Iteration Gilbert, Hugo; Spanjaard, Olivier; Viappiani, Paolo; Weng, Paul; International Conference on Algorithmic Decision Theory (ADT) 2015 pdf BibTex Conference Proceedings Solving MDPs with Skew Symmetric Bilinear Utility Functions Gilbert, Hugo; Spanjaard, Olivier; Viappiani, Paolo; Weng, Paul; International Joint Conference in Artificial Intelligence (IJCAI) 2015 pdf BibTex Conference Proceedings Optimization of probabilistic argumentation with Markov Decision Models Hadoux, Emmanuel; Beynier, Aurélie; Maudet, Nicolas; Weng, Paul; Hunter, Anthony; International Joint Conference on Artificial Intelligence (IJCAI) 2015 pdf BibTex Conference Proceedings Préférences unimodales fondées sur la matrice des préférences nettes : caractérisation et étude expérimentale Spanjaard, Olivier; Weng, Paul; ROADEF 2015 BibTex Conference Proceedings Qualitative Multi-Armed Bandits: A Quantile-Based Approach Szörenyi, Balázs; Busa-Fekete, Róbert; Weng, Paul; Hüllermeier, Eyke; International Conference on Machine Learning (ICML) 2015 pdf BibTex
2014
Journal Article Preference-based Reinforcement Learning: Evolutionary Direct Policy Search using a Preference-based Racing Algorithm Busa-Fekete, Róbert; Szörenyi, Balázs; Weng, Paul; Cheng, Weiwei; Hüllermeier, Eyke; Machine Learning 2014 pdf BibTex Conference Proceedings Prise de décision séquentielle en environnements incertains et non stationnaires Hadoux, Emmanuel; Beynier, Aurélie; Weng, Paul; ROADEF 2014 BibTex Conference Proceedings Solving Hidden-Semi-Markov-Mode Markov Decision Problems Hadoux, Emmanuel; Beynier, Aurélie; Weng, Paul; International Conference on Scalable Uncertainty Management (SUM) Lecture Notes in Artificial Intelligence 2014 pdf BibTex Conference Proceedings Sequential Decision-Making under Non-stationary Environments via Sequential Change-point Detection Hadoux, Emmanuel; Beynier, Aurélie; Weng, Paul; International Workshop on Learning over Multiple Contexts @ ECML 2014 pdf BibTex Conference Proceedings Solving Hidden-Semi-Markov-Mode Markov Decision Problems Hadoux, Emmanuel; Beynier, Aurélie; Weng, Paul; Workshop Adaptative Learning Agents @ AAMAS 2014 pdf BibTex Conference Proceedings Teacher-Student Framework: a Reinforcement Learning Approach Zimmer, Matthieu; Viappiani, Paolo; Weng, Paul; Workshop Autonomous Robots and Multirobot Systems @ AAMAS 2014 pdf BibTex
2013
Conference Proceedings Preference-based Evolutionary Direct Policy Search Busa-Fekete, Róbert; Szörenyi, Balázs; Weng, Paul; Cheng, Weiwei; Hüllermeier, Eyke; Autonomous Learning Workshop @ ICRA 2013 pdf BibTex Conference Proceedings Preference-Based Reinforcement Learning Busa-Fekete, Róbert; Szörenyi, Balázs; Weng, Paul; Cheng, Weiwei; Hüllermeier, Eyke; European Workshop on Reinforcement Learning (EWRL), Dagstuhl Seminar 2013 BibTex Conference Proceedings Top-k Selection based on Adaptive Sampling of Noisy Preferences Busa-Fekete, Róbert; Szörenyi, Balázs; Weng, Paul; Cheng, Weiwei; Hüllermeier, Eyke; International Conference on Machine Learning (ICML) 2013 pdf BibTex Conference Proceedings Apprentissage de politique par minimisation de regret Hadoux, Emmanuel; Beynier, Aurélie; Weng, Paul; ROADEF 2013 BibTex Conference Proceedings Optimisation non linéaire dans les problèmes de couplage Nguyen, Viet Hung; Weng, Paul; ROADEF 2013 BibTex Conference Proceedings A primal-dual approach for optimizing ordered weighted average in perfect matching problems Nguyen, Viet Hung; Weng, Paul; International Conference on Multiple Criteria Decision Making (MCDM) 2013 BibTex Journal Article A Compromise Programming Approach to Multiobjective Markov Decision Processes Ogryczak, Wlodzimierz; Perny, Patrice; Weng, Paul; International Journal of Information Technology & Decision Making 2013 pdf BibTex Conference Proceedings Approximation of Lorenz-optimal solutions in multiobjective Markov decision processes Perny, Patrice; Weng, Paul; Goldsmith, Judy; Hanna, Josiah; AAAI - Late Breaking Paper 2013 BibTex Conference Proceedings Approximation of Lorenz-optimal solutions in multiobjective Markov decision processes Perny, Patrice; Weng, Paul; Goldsmith, Judy; Hanna, Josiah; International Conference on Uncertainty in Artificial Intelligence (UAI) 2013 pdf BibTex Conference Proceedings Markov Decision Processes with Functional Rewards Spanjaard, Olivier; Weng, Paul; Multi-disciplinary International Workshop on Artificial Intelligence (MIWAI) Lecture Notes in Artificial Intelligence 2013 pdf BibTex Conference Proceedings Axiomatic Foundations of Generalized Qualitative Utility Weng, Paul; Multi-disciplinary International Workshop on Artificial Intelligence (MIWAI) Lecture Notes in Artificial Intelligence 2013 pdf BibTex Conference Proceedings Interactive Q-Learning with Ordinal Rewards and Unreliable Tutor Weng, Paul; Busa-Fekete, Róbert; Hüllermeier, Eyke; Workshop Reinforcement Learning with Generalized Feedback @ ECML/PKDD 2013 pdf BibTex Conference Proceedings Interactive value iteration for Markov decision processes with unknown rewards Weng, Paul; Zanuttini, Bruno; International Joint Conference in Artificial Intelligence (IJCAI) 2013 pdf BibTex
2012
Conference Proceedings On WOWA Rank Reversal Ogryczak, Wlodzimierz; Perny, Patrice; Weng, Paul; International Conference on Modeling Decisions for Artificial Intelligence (MDAI) Lecture Notes in Artificial Intelligence 2012 pdf BibTex Conference Proceedings Ordinal Decision Models for Markov Decision Processes Weng, Paul; European Conference on Artificial Intelligence (ECAI) 2012 pdf BibTex
2011
Conference Proceedings Committee Selection with a Weight Constraint Based on a Pairwise Dominance Relation Delort, Charles; Spanjaard, Olivier; Weng, Paul; International Conference on Algorithmic Decision Theory (ADT) Lecture Notes in Artificial Intelligence 2011 pdf BibTex Conference Proceedings Sélection d'un comité fondée sur une classification ordinale des individus Delort, Charles; Spanjaard, Olivier; Weng, Paul; ROADEF 2011 BibTex Conference Proceedings On Minimizing Ordered Weighted Regrets in Multiobjective Markov Decision Processes Ogryczak, Wlodzimierz; Perny, Patrice; Weng, Paul; International Conference on Algorithmic Decision Theory (ADT) Lecture Notes in Artificial Intelligence 2011 pdf BibTex Conference Proceedings A Compromise Programming Approach to Multiobjective Markov Decision Processes Ogryczak, Wlodzimierz; Perny, Patrice; Weng, Paul; International Conference on Multiple Criteria Decision Making (MCDM) 2011 pdf BibTex Conference Proceedings Markov Decision Processes with Ordinal Rewards: Reference Point-Based Preferences Weng, Paul; International Conference on Automated Planning and Scheduling (ICAPS) 2011 pdf BibTex
2010
Book Section Non-Standard Criteria Boussard, Matthieu; Bouzid, Maroua; Mouaddib, Abdel-Illah; Sabbadin, Régis; Weng, Paul; Markov Decision Processes in Artificial Intelligence 2010 BibTex Conference Proceedings On finding compromise solutions in multiobjective Markov decision processes Perny, Patrice; Weng, Paul; Multidisciplinary Workshop on Advances in Preference Handling (MPREF) @ European Conference on Artificial Intelligence (ECAI) 2010 pdf BibTex Conference Proceedings On finding compromise solutions in multiobjective Markov decision processes Perny, Patrice; Weng, Paul; European Conference in Artificial Intelligence (short paper) 2010 BibTex Journal Article Processus Décisionnels de Markov : des récompenses ordinales au multicritère Weng, Paul; Revue d'Intelligence Artificielle 2010 pdf BibTex Conference Proceedings Politiques de meilleur compromis dans les processus décisionnels de Markov multicritères Weng, Paul; ROADEF 2010 BibTex
2008
Book Section Critères non classiques Boussard, Matthieu; Bouzid, Maroua; Mouaddib, Abdel-Illah; Sabbadin, Régis; Weng, Paul; Processus décisionnels de Markov en intelligence artificielle 2008 BibTex
2007
Journal Article Conditions générales pour l'admissibilité de la programmation dynamique dans la décision séquentielle possibiliste Weng, Paul; Revue d'intelligence artificielle 2007 pdf BibTex
2006
Journal Article Processus de décision markoviens et préférences non classiques Weng, Paul; Revue d'intelligence artificielle 2006 pdf BibTex Conference Proceedings An axiomatic approach to qualitative decision theory with binary possibilistic utility Weng, Paul; European Conference on Artificial Intelligence (ECAI) 2006 pdf BibTex Conference Proceedings Fondements axiomatiques d'une classe d'utilité espérée généralisée : l'utilité espérée algébrique Weng, Paul; Journées Francophones sur la Planification, la Décision et l'Apprentissage pour la Conduite de Systèmes 2006 pdf BibTex PhD Thesis Modèles qualitatifs et approches algébriques pour la décision dans l'incertain : fondements axiomatiques et application à la décision séquentielle Weng, Paul; 2006 BibTex Conference Proceedings Axiomatic foundations for a class of generalized expected utility: Algebraic expected utility Weng, Paul; International Conference on Uncertainty in Artificial Intelligence (UAI) 2006 pdf BibTex
2005
Conference Proceedings Algebraic Markov Decision Processes Perny, Patrice; Spanjaard, Olivier; Weng, Paul; International Joint Conference in Artificial Intelligence (IJCAI) 2005 pdf BibTex Conference Proceedings Décision séquentielle dans l'incertain possibiliste Weng, Paul; Journées des Processus de Décision Markoviens et Intelligence Artificielle 2005 BibTex Conference Proceedings Qualitative decision making under possibilistic uncertainty: Toward more discriminating criteria Weng, Paul; International Conference on Uncertainty in Artificial Intelligence (UAI) 2005 pdf BibTex
2004
Conference Proceedings Markov decision processes with non classic preferences Weng, Paul; Workshop in Multi-Agent MDPs: Theories and Models @ European Conference in Artificial Intelligence (ECAI) 2004 BibTex Conference Proceedings Processus de décision markoviens en présence de préférences non-classiques Weng, Paul; FRANCORO 2004 BibTex Conference Proceedings Processus de décision markoviens et préférences non-classiques Weng, Paul; Journée des Processus de Décision Markoviens et Intelligence Artificielle 2004 BibTex