Paul Weng

发表

Qualitative Multi-Armed Bandits: A Quantile-Based Approach

Eyke Hüllermeier, Balázs Szörényi, Róbert Busa-Fekete, 2015, ICML.

Preference-based Evolutionary Direct Policy Search

Eyke Hüllermeier, Balázs Szörényi, Róbert Busa-Fekete, 2013 .

Approximation of Lorenz-Optimal Solutions in Multiobjective Markov Decision Processes pdf

Patrice Perny, Paul Weng, Judy Goldsmith, 2013, AAAI.

Adversarial Training Model Unifying Feature Driven and Point Process Perspectives for Event Popularity Prediction

Guihai Chen, Xiaofeng Gao, Paul Weng, 2018, CIKM.

Axiomatic Foundations of Generalized Qualitative Utility

Paul Weng, Paul Weng, 2013, MIWAI.

Quantile Reinforcement Learning pdf

Paul Weng, Hugo Gilbert, Paul Weng, 2016, ArXiv.

On Minimizing Ordered Weighted Regrets in Multiobjective Markov Decision Processes

Patrice Perny, Wlodzimierz Ogryczak, Paul Weng, 2011, ADT.

Proceedings of the 8th International Workshop on Multi-disciplinary Trends in Artificial Intelligence - Volume 8875

Xiangjian He, Paul Weng, M. Murty, 2014 .

From Preference-Based to Multiobjective Sequential Decision-Making

Paul Weng, Paul Weng, 2016, MIWAI.

Qualitative Decision Making Under Possibilistic Uncertainty: Toward more Discriminating Criteria pdf

Paul Weng, Paul Weng, 2005, UAI.

Reports of the AAAI 2014 Conference Workshops

Guy Van den Broeck, André da Motta Salles Barreto, Jenna Wiens, 2015, AI Mag..

An Efficient Primal-Dual Algorithm for Fair Combinatorial Optimization Problems pdf

Viet Hung Nguyen, Paul Weng, Paul Weng, 2017, COCOA.

Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm

Eyke Hüllermeier, Balázs Szörényi, Róbert Busa-Fekete, 2014, Machine Learning.

Optimal Threshold Policies for Robust Data Center Control

Bruno Sinopoli, Paul Weng, Xiaoqi Yin, 2018 .

Markov Decision Processes with Functional Rewards

Olivier Spanjaard, Paul Weng, 2013, MIWAI.

Mediation of Debates with Dynamic Argumentative Behaviors

Nicolas Maudet, Paul Weng, Emmanuel Hadoux, 2018, COMMA.

Finding Risk-Averse Shortest Path with Time-dependent Stochastic Costs pdf

Paul Weng, Orkun Karabasoglu, Dajian Li, 2016, MIWAI.

Model-Free Reinforcement Learning with Skew-Symmetric Bilinear Utilities

Paolo Viappiani, Bruno Zanuttini, Paul Weng, 2016, UAI.

Optimal Threshold Policies for Robust Data Center Control pdf

Bruno Sinopoli, Paul Weng, Xiaoqi Yin, 2017, ArXiv.

Ordinal Decision Models for Markov Decision Processes

Paul Weng, 2012, ECAI.

Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains

Paul Weng, Matthieu Zimmer, Matthieu Zimmer, 2019, IJCAI.

Solving MDPs with Skew Symmetric Bilinear Utility Functions

Olivier Spanjaard, Paolo Viappiani, Paul Weng, 2015, IJCAI.

Processus de décision markoviens et préférences non classiques

Paul Weng, Paul Weng, 2006, Rev. d'Intelligence Artif..

On Finding Compromise Solutions in Multiobjective Markov Decision Processes

Patrice Perny, Paul Weng, Paul Weng, 2010, ECAI.

Decomposition Methods for Distributed Optimal Power Flow: Panorama and Case Studies of the DC Model

M. Hadi Amini, Kianoosh G. Boroojeni, Paul Weng, 2018 .

Conditions générales pour l'admissibilité de la programmation dynamique dans la décision séquentielle possibiliste

Paul Weng, Paul Weng, 2007, Rev. d'Intelligence Artif..

A Compromise Programming Approach to multiobjective Markov Decision Processes

Patrice Perny, Wlodzimierz Ogryczak, Paul Weng, 2011, Int. J. Inf. Technol. Decis. Mak..

Multi-objective Bandits: Optimizing the Generalized Gini Index pdf

Shie Mannor, Balázs Szörényi, Róbert Busa-Fekete, 2017, ICML.

An Axiomatic Approach in Qualitative Decision Theory with Binary Possibilistic Utility

Paul Weng, Paul Weng, 2006, ECAI.

Top-k Selection based on Adaptive Sampling of Noisy Preferences

Eyke Hüllermeier, Balázs Szörényi, Róbert Busa-Fekete, 2013, ICML.

Committee Selection with a Weight Constraint Based on a Pairwise Dominance Relation

Olivier Spanjaard, Paul Weng, Charles Delort, 2011, ADT.

Solving Hidden-Semi-Markov-Mode Markov Decision Problems

Paul Weng, Emmanuel Hadoux, Aurélie Beynier, 2014, SUM.

Interactive Value Iteration for Markov Decision Processes with Unknown Rewards

Bruno Zanuttini, Paul Weng, Paul Weng, 2013, IJCAI.

Optimizing Quantiles in Preference-Based Markov Decision Processes pdf

Yan Xu, Paul Weng, Hugo Gilbert, 2016, AAAI.

Multi-disciplinary Trends in Artificial Intelligence

Xiangjian He, M. Narasimha Murty, Paul Weng, 2014, Lecture Notes in Computer Science.

Representing Relative Visual Attributes with a Reference-Point-Based Decision Model

Paul Weng, Marc T. Law, Paul Weng, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Interactive Q-Learning with Ordinal Rewards and Unreliable Tutor

Eyke Hüllermeier, Róbert Busa-Fekete, Paul Weng, 2013 .

A Hierarchical Approach Based on the Frank–Wolfe Algorithm and Dantzig–Wolfe Decomposition for Solving Large Economic Dispatch Problems in Smart Grids

M. Hadi Amini, Paul Weng, Jianyi Zhang, 2019 .

Axiomatic Foundations for a Class of Generalized Expected Utility: Algebraic Expected Utility pdf

Paul Weng, Paul Weng, 2006, UAI.

Markov Decision Processes with Ordinal Rewards: Reference Point-Based Preferences

Paul Weng, Paul Weng, 2011, ICAPS.

Algebraic Markov Decision Processes

Patrice Perny, Olivier Spanjaard, Paul Weng, 2005, IJCAI.

Optimization of Probabilistic Argumentation with Markov Decision Models

Nicolas Maudet, Anthony Hunter, Paul Weng, 2015, IJCAI.

Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems

Guihai Chen, Xiaofeng Gao, Paul Weng, 2019, WWW.

Functional Reward Markov Decision Processes: Theory and Applications

Olivier Spanjaard, Paul Weng, 2017, Int. J. Artif. Intell. Tools.

Reducing the Number of Queries in Interactive Value Iteration

Olivier Spanjaard, Paolo Viappiani, Paul Weng, 2015, ADT.

Hierarchical Electric Vehicle Charging Aggregator Strategy Using Dantzig-Wolfe Decomposition

M. Hadi Amini, Paul Weng, Paul McNamara, 2018, IEEE Design & Test.

On WOWA Rank Reversal

Patrice Perny, Wlodzimierz Ogryczak, Paul Weng, 2012, MDAI.

Generalization in Deep RL for TSP Problems via Equivariance and Local Search pdf

Paul Weng, Yisen Wang, Wenbin Ouyang, 2021, ArXiv.