Paul Weng

According to our database, Paul Weng authored at least 78 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A survey on interpretable reinforcement learning.

Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu

Mach. Learn., July, 2024

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

Wenbin Ouyang, Yisen Wang, Paul Weng, Shaochen Han

SN Comput. Sci., April, 2024

State-Novelty Guided Action Persistence in Deep Reinforcement Learning.

Jianshu Hu, Paul Weng, Yutong Ban

CoRR, 2024

Enhancing Class Fairness in Classification with A Two-Player Game Approach.

Yunpeng Jiang, Paul Weng, Yutong Ban

CoRR, 2024

INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer.

Han Fang, Zhihao Song, Paul Weng, Yutong Ban

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Revisiting Data Augmentation in Deep Reinforcement Learning.

Jianshu Hu, Yunpeng Jiang, Paul Weng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Differentiable Logic Machines.

Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Dong Li, Jianye Hao, Wulong Liu

Trans. Mach. Learn. Res., 2023

Analytics and machine learning in vehicle routing research.

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

Int. J. Prod. Res., 2023

A Survey of Reinforcement Learning from Human Feedback.

Timo Kaufmann, Paul Weng, Viktor Bengs, Eyke Hüllermeier

CoRR, 2023

Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning.

Zhaohui Jiang, Paul Weng

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Improving Subtour Elimination Constraint Generation in Branch-and-Cut Algorithms for the TSP with Machine Learning.

Thi Quynh Trang Vo, Mourad Baïou, Viet Hung Nguyen, Paul Weng

Proceedings of the Learning and Intelligent Optimization - 17th International Conference, 2023

Fair Deep Reinforcement Learning with Preferential Treatment.

Guanbao Yu, Umer Siddique, Paul Weng

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Fair Deep Reinforcement Learning with Generalized Gini Welfare Functions.

Guanbao Yu, Umer Siddique, Paul Weng

Proceedings of the Autonomous Agents and Multiagent Systems. Best and Visionary Papers - AAMAS 2023 Workshops, London, UK, May 29, 2023

Learning Rewards to Optimize Global Performance Metrics in Deep Reinforcement Learning.

Junqi Qian, Paul Weng, Chenmien Tan

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

A comparative study of linearization methods for Ordered Weighted Average.

Thi Quynh Trang Vo, Mourad Baïou, Viet Hung Nguyen, Paul Weng

Proceedings of the 12th International Workshop on Resilient Networks Design and Modeling, 2022

Neuro-Symbolic Hierarchical Rule Induction.

Claire Glanois, Zhaohui Jiang, Xuening Feng, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu, Jianye Hao

Proceedings of the International Conference on Machine Learning, 2022

Planning with Q-Values in Sparse Reward Reinforcement Learning.

Hejun Lei, Paul Weng, Juan Rojas, Yisheng Guan

Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022

Solving Complex Manipulation Tasks with Model-Assisted Model-Free Reinforcement Learning.

Jianshu Hu, Paul Weng

Proceedings of the Conference on Robot Learning, 2022

CVaR-Regret Bounds for Multi-armed Bandits.

Chenmien Tan, Paul Weng

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Hyperparameter Auto-Tuning in Self-Supervised Robotic Learning.

Jiancong Huang, Juan Rojas, Matthieu Zimmer, Hongmin Wu, Yisheng Guan, Paul Weng

IEEE Robotics Autom. Lett., 2021

Neuro-Symbolic Hierarchical Rule Induction.

Claire Glanois, Xuening Feng, Zhaohui Jiang, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu

CoRR, 2021

Learning Symbolic Rules for Interpretable Deep Reinforcement Learning.

Zhihao Ma, Yuzheng Zhuang, Paul Weng, Hankz Hankui Zhuo, Dong Li, Wulong Liu, Jianye Hao

CoRR, 2021

Improving Generalization of Deep Reinforcement Learning-based TSP Solvers.

Wenbin Ouyang, Yisen Wang, Shaochen Han, Zhejian Jin, Paul Weng

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning.

Matthieu Zimmer, Claire Glanois, Umer Siddique, Paul Weng

Proceedings of the 38th International Conference on Machine Learning, 2021

Safe Distributional Reinforcement Learning.

Jianyi Zhang, Paul Weng

Proceedings of the Distributed Artificial Intelligence - Third International Conference, 2021

2020

Invariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning.

Yijiong Lin, Jiancong Huang, Matthieu Zimmer, Yisheng Guan, Juan Rojas, Paul Weng

IEEE Robotics Autom. Lett., 2020

Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning.

Matthieu Zimmer, Umer Siddique, Paul Weng

CoRR, 2020

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

Umer Siddique, Paul Weng, Matthieu Zimmer

CoRR, 2020

Reinforcement Learning.

Olivier Buffer, Olivier Pietquin, Paul Weng

CoRR, 2020

Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards.

Umer Siddique, Paul Weng, Matthieu Zimmer

Proceedings of the 37th International Conference on Machine Learning, 2020

Decomposed Deep Reinforcement Learning for Robotic Control.

Yinzhao Dong, Chao Yu, Paul Weng, Ahmed Maustafa, Hui Cheng, Hongwei Ge

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Reinforcement Learning.

Olivier Buffet, Olivier Pietquin, Paul Weng

Proceedings of the A Guided Tour of Artificial Intelligence Research: Volume I: Knowledge Representation, 2020

2019

Towards More Sample Efficiency in Reinforcement Learning with Data Augmentation.

Yijiong Lin, Jiancong Huang, Matthieu Zimmer, Juan Rojas, Paul Weng

CoRR, 2019

Invariant Transform Experience Replay.

Yijiong Lin, Jiancong Huang, Matthieu Zimmer, Juan Rojas, Paul Weng

CoRR, 2019

Fairness in Reinforcement Learning.

Paul Weng

CoRR, 2019

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

Proceedings of the World Wide Web Conference, 2019

Dual Sequential Prediction Models Linking Sequential Recommendation and Information Dissemination.

Qitian Wu, Yirui Gao, Xiaofeng Gao, Paul Weng, Guihai Chen

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

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

Matthieu Zimmer, Paul Weng

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

An efficient reinforcement learning algorithm for learning deterministic policies in continuous domains.

Matthieu Zimmer, Paul Weng

Proceedings of the First International Conference on Distributed Artificial Intelligence, 2019

2018

Hierarchical Electric Vehicle Charging Aggregator Strategy Using Dantzig-Wolfe Decomposition.

M. Hadi Amini, Paul McNamara, Paul Weng, Orkun Karabasoglu, Yinliang Xu

IEEE Des. Test, 2018

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

Marc T. Law, Paul Weng

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Mediation of Debates with Dynamic Argumentative Behaviors.

Emmanuel Hadoux, Aurélie Beynier, Nicolas Maudet, Paul Weng

Proceedings of the Computational Models of Argument, 2018

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

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Functional Reward Markov Decision Processes: Theory and Applications.

Paul Weng, Olivier Spanjaard

Int. J. Artif. Intell. Tools, 2017

Optimal Threshold Policies for Robust Data Center Control.

Paul Weng, Zeqi Qiu, John A. W. B. Costanzo, Xiaoqi Yin, Bruno Sinopoli

CoRR, 2017

Multi-objective Bandits: Optimizing the Generalized Gini Index.

Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Shie Mannor

Proceedings of the 34th International Conference on Machine Learning, 2017

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

Viet Hung Nguyen, Paul Weng

Proceedings of the Combinatorial Optimization and Applications, 2017

Optimizing Quantiles in Preference-Based Markov Decision Processes.

Hugo Gilbert, Paul Weng, Yan Xu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Quantile Reinforcement Learning.

Hugo Gilbert, Paul Weng

CoRR, 2016

Model-Free Reinforcement Learning with Skew-Symmetric Bilinear Utilities.

Hugo Gilbert, Bruno Zanuttini, Paul Weng, Paolo Viappiani, Esther Nicart

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

From Preference-Based to Multiobjective Sequential Decision-Making.

Paul Weng

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2016

Finding Risk-Averse Shortest Path with Time-Dependent Stochastic Costs.

Dajian Li, Paul Weng, Orkun Karabasoglu

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2016

2015

Reports of the AAAI 2014 Conference Workshops.

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

AI Mag., 2015

Optimization of Probabilistic Argumentation with Markov Decision Models.

Emmanuel Hadoux, Aurélie Beynier, Nicolas Maudet, Paul Weng, Anthony Hunter

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Solving MDPs with Skew Symmetric Bilinear Utility Functions.

Hugo Gilbert, Olivier Spanjaard, Paolo Viappiani, Paul Weng

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Qualitative Multi-Armed Bandits: A Quantile-Based Approach.

Balázs Szörényi, Róbert Busa-Fekete, Paul Weng, Eyke Hüllermeier

Proceedings of the 32nd International Conference on Machine Learning, 2015

Reducing the Number of Queries in Interactive Value Iteration.

Hugo Gilbert, Olivier Spanjaard, Paolo Viappiani, Paul Weng

Proceedings of the Algorithmic Decision Theory - 4th International Conference, 2015

2014

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

Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Weiwei Cheng, Eyke Hüllermeier

Mach. Learn., 2014

Solving Hidden-Semi-Markov-Mode Markov Decision Problems.

Emmanuel Hadoux, Aurélie Beynier, Paul Weng

Proceedings of the Scalable Uncertainty Management - 8th International Conference, 2014

Preface.

Darius Braziunas, Markus Endres, Kristen Brent Venable, Paul Weng, Lirong Xia

Proceedings of the Multidisciplinary Workshop on Advances in Preference Handling, 2014

2013

A Compromise Programming Approach to multiobjective Markov Decision Processes.

Wlodzimierz Ogryczak, Patrice Perny, Paul Weng

Int. J. Inf. Technol. Decis. Mak., 2013

Axiomatic Foundations of Generalized Qualitative Utility.

Paul Weng

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2013

Markov Decision Processes with Functional Rewards.

Olivier Spanjaard, Paul Weng

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2013

Interactive Value Iteration for Markov Decision Processes with Unknown Rewards.

Paul Weng, Bruno Zanuttini

Proceedings of the IJCAI 2013, 2013

Top-k Selection based on Adaptive Sampling of Noisy Preferences.

Róbert Busa-Fekete, Balázs Szörényi, Weiwei Cheng, Paul Weng, Eyke Hüllermeier

Proceedings of the 30th International Conference on Machine Learning, 2013

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

Patrice Perny, Paul Weng, Judy Goldsmith, Josiah Hanna

Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

2012

On WOWA Rank Reversal.

Wlodzimierz Ogryczak, Patrice Perny, Paul Weng

Proceedings of the Modeling Decisions for Artificial Intelligence, 2012

Ordinal Decision Models for Markov Decision Processes.

Paul Weng

Proceedings of the ECAI 2012, 2012

2011

On Minimizing Ordered Weighted Regrets in Multiobjective Markov Decision Processes.

Wlodzimierz Ogryczak, Patrice Perny, Paul Weng

Proceedings of the Algorithmic Decision Theory - Second International Conference, 2011

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

Charles Delort, Olivier Spanjaard, Paul Weng

Proceedings of the Algorithmic Decision Theory - Second International Conference, 2011

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

Paul Weng

Proceedings of the 21st International Conference on Automated Planning and Scheduling, 2011

2010

On Finding Compromise Solutions in Multiobjective Markov Decision Processes.

Patrice Perny, Paul Weng

Proceedings of the ECAI 2010, 2010

2007

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

Paul Weng

Rev. d'Intelligence Artif., 2007

2006

Processus de décision markoviens et préférences non classiques.

Paul Weng

Rev. d'Intelligence Artif., 2006

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

Paul Weng

Proceedings of the UAI '06, 2006

An Axiomatic Approach in Qualitative Decision Theory with Binary Possibilistic Utility.

Paul Weng

Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

2005

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

Paul Weng

Proceedings of the UAI '05, 2005

Algebraic Markov Decision Processes.

Patrice Perny, Olivier Spanjaard, Paul Weng

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005