Paul Weng

发表

Teacher-Student Framework: a Reinforcement Learning Approach

Matthieu Zimmer, P. Viappiani, Paul Weng, 2014 .

Reports of the AAAI 2014 Conference Workshops

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

Optimal Threshold Policies for Robust Data Center Control

Bruno Sinopoli, Paul Weng, Xiaoqi Yin, 2018 .

Algebraic Markov Decision Processes

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

Optimizing the Generalized Gini Index in Multi-objective Bandits

R. Busa-Fekete, Paul Weng, Balázs Szörényi, 2016 .

Non-standard Criteria

Paul Weng, R. Sabbadin, A. Mouaddib, 2013 .

Fondations axiomatiques d'une classe d'utilité espérée généralisée : l'utilité espérée algébrique

Paul Weng, 2006 .

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

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

Optimal Threshold Policies for Robust Data Center Control

B. Sinopoli, Paul Weng, J. Costanzo, 2018, Journal of Shanghai Jiaotong University (Science).

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

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

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

Paul Weng, Paul Weng, 2011, ICAPS.

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 Value Iteration for Markov Decision Processes with Unknown Rewards

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

Processus décisionnels de Markov : des récompenses ordinales au multicritère

P. Weng, Paul Weng, 2010, Rev. d'Intelligence Artif..

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.

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

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

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

Paul Weng, Paul Weng, 2006, UAI.

Processus de décision markoviens et préférences non classiques

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

An Axiomatic Approach in Qualitative Decision Theory with Binary Possibilistic Utility

Paul Weng, Paul Weng, 2006, ECAI.

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

Paul Weng, Paul Weng, 2005, UAI.

Solving Hidden-Semi-Markov-Mode Markov Decision Problems

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

Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards

Paul Weng, Matthieu Zimmer, Umer Siddique, 2020, ICML.

Multi-objective Bandits: Optimizing the Generalized Gini Index pdf

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

Axiomatic Foundations of Generalized Qualitative Utility

Paul Weng, Paul Weng, 2013, MIWAI.

Dual Sequential Prediction Models Linking Sequential Recommendation and Information Dissemination

Guihai Chen, Xiaofeng Gao, Qitian Wu, 2019, KDD.

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

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

From Preference-Based to Multiobjective Sequential Decision-Making

Paul Weng, Paul Weng, 2016, MIWAI.

Reducing the Number of Queries in Interactive Value Iteration

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

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

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

A Compromise Programming Approach to multiobjective Markov Decision Processes

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

On Minimizing Ordered Weighted Regrets in Multiobjective Markov Decision Processes

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

On Finding Compromise Solutions in Multiobjective Markov Decision Processes

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

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

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

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

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

On WOWA Rank Reversal

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

Interactive Q-Learning with Ordinal Rewards and Unreliable Tutor

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

Solving MDPs with Skew Symmetric Bilinear Utility Functions

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

Invariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning

Yisheng Guan, Paul Weng, Matthieu Zimmer, 2019, IEEE Robotics and Automation Letters.

Sequential Decision-Making under Non-stationary Environments via Sequential Change-point Detection

Emmanuel Hadoux, Aurélie Beynier, Paul Weng, 2014 .

Qualitative Multi-Armed Bandits: A Quantile-Based Approach

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

Optimizing Quantiles in Preference-Based Markov Decision Processes pdf

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

Reinforcement Learning pdf

Olivier Pietquin, Paul Weng, Olivier Buffer, 2020, A Guided Tour of Artificial Intelligence Research.

Preference-based Evolutionary Direct Policy Search

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

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

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

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

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

Top-k Selection based on Adaptive Sampling of Noisy Preferences

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

Reinforcement Learning

O. Pietquin, Paul Weng, Olivier Buffer, 2020, A Guided Tour of Artificial Intelligence Research.

Hierarchical Electric Vehicle Charging Aggregator Strategy Using Dantzig-Wolfe Decomposition

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

Single-peakedness Based on the Net Preference Matrix: Characterization and Algorithms

Olivier Spanjaard, Paul Weng, Paul Weng, 2016 .

Invariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning

Yisheng Guan, Juan Rojas, Matthieu Zimmer, 2019, IEEE Robotics and Automation Letters.

Quantile Reinforcement Learning pdf

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