Ann Nowé - RankMe

376 papers A* 22A 43B 27C 13Misc 4Journal 149Unranked 110

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Benchmarking knowledge graph embedding models for the prediction of oligogenic combinations. Briefings Bioinform. Inas Bosch, Barbara Gravel, Alexandre Renaux, Ann Nowé, Maris Laan, Tom Lenaerts
2026	J	`jnl`	Generalized policy improvement for efficient and robust multi-objective reinforcement learning. Auton. Agents Multi Agent Syst. Lucas N. Alegre, Ana L. C. Bazzan, Diederik M. Roijers, Ann Nowé, Bruno C. da Silva
2026	J	`jnl`	Multi-objective reinforcement learning for provably incentivising alignment with value systems. Artif. Intell. Manel Rodriguez-Soto, Roxana Radulescu, Filippo Bistaffa, Oriol Ricart, Arnau Mayoral-Macau, Maite López-Sánchez, Juan A. Rodríguez-Aguilar, Ann Nowé
2026	J	`jnl`	Probabilistic Wind Power Forecasting with Tree-Based Machine Learning and Weather Ensembles. CoRR Max Bruninx, Diederik van Binsbergen, Timothy Verstraeten, Ann Nowé, Jan Helsen
2025	A	`conf`	A JAX-Accelerated Simulation Framework for Multi-Agent Energy Management in Energy Communities. AAMAS Hicham Azmani, Andries Rosseau, Marjon Blondeel, Ann Nowé
2025	J	`jnl`	A Task-Efficient Reinforcement Learning Task-Motion Planner for Safe Human-Robot Cooperation. CoRR Gaoyuan Liu, Joris De Winter, Kelly Merckaert, Denis Steckelmacher, Ann Nowé, Bram Vanderborght
2025	J	`jnl`	A framework for flexibly guiding learning agents. Neural Comput. Appl. Mahmoud Elbarbari, Florent Delgrange, Ivo Vervlimmeren, Kyriakos Efthymiadis, Bram Vanderborght, Ann Nowé
2025	—	`conf`	Artificial Delegates Resolve Fairness Issues in Perpetual Voting with Partial Turnout. CI Apurva Shah, Axel Abels, Ann Nowé, Tom Lenaerts
2025	J	`jnl`	Artificial Delegates Resolve Fairness Issues in Perpetual Voting with Partial Turnout. CoRR Apurva Shah, Axel Abels, Ann Nowé, Tom Lenaerts
2025	J	`jnl`	Automated Behavior Planning for Fruit Tree Pruning via Redundant Robot Manipulators: Addressing the Behavior Planning Challenge. CoRR Gaoyuan Liu, Bas Boom, Naftali Slob, Yuri Durodié, Ann Nowé, Bram Vanderborght
2025	J	`jnl`	Collective Intelligence in Decision-Making with Non-Stationary Experts. J. Artif. Intell. Res. Axel Abels, Vito Trianni, Ann Nowé, Tom Lenaerts
2025	A	`conf`	Composing Reinforcement Learning Policies, with Formal Guarantees. AAMAS Florent Delgrange, Guy Avni, Anna Lukina, Christian Schilling, Ann Nowé, Guillermo A. Pérez
2025	A	`conf`	Congestion-Aware Multi-Agent Path Planning for Pick-Up and Delivery Tasks. GECCO Mehrdad Asadi, Ann Nowé, Javad Ghofrani
2025	A	`conf`	Curiosity-Driven Partner Selection Accelerates Convention Emergence in Language Games. AAMAS Chin-wing Leung, Paolo Turrini, Ann Nowé
2025	A	`conf`	Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning. AAMAS Willem Röpke, Mathieu Reymond, Patrick Mannion, Diederik M. Roijers, Ann Nowé, Roxana Radulescu
2025	J	`jnl`	Explainability in Context: A Multilevel Framework Aligning AI Explanations with Stakeholder with LLMs. CoRR Marilyn Bello, Rafael Bello, María-Matilde García, Ann Nowé, Iván Sevillano-García, Francisco Herrera
2025	—	`conf`	Explainable AI Based Diagnosis of Poisoning Attacks in Evolutionary Swarms. GECCO Companion Mehrdad Asadi, Roxana Radulescu, Ann Nowé
2025	J	`jnl`	Explainable AI Based Diagnosis of Poisoning Attacks in Evolutionary Swarms. CoRR Mehrdad Asadi, Roxana Radulescu, Ann Nowé
2025	J	`jnl`	Explainable RL Policies by Distilling to Locally-Specialized Linear Policies with Voronoi State Partitioning. CoRR Senne Deproost, Denis Steckelmacher, Ann Nowé
2025	J	`jnl`	Fairness-Aware Reinforcement Learning (FAReL): A Framework for Transparent and Balanced Sequential Decision-Making. CoRR Alexandra Cimpean, Nicole Orzan, Catholijn M. Jonker, Pieter Libin, Ann Nowé
2025	J	`jnl`	Inclusive Fitness as a Key Step Towards More Advanced Social Behaviors in Multi-Agent Reinforcement Learning Settings. CoRR Andries Rosseau, Raphaël Avalos, Ann Nowé
2025	J	`jnl`	Optimistic Reinforcement Learning-Based Skill Insertions for Task and Motion Planning. CoRR Gaoyuan Liu, Joris De Winter, Yuri Durodié, Denis Steckelmacher, Ann Nowé, Bram Vanderborght
2025	J	`jnl`	Preference communication in multi-objective normal-form games. Neural Comput. Appl. Willem Röpke, Diederik M. Roijers, Ann Nowé, Roxana Radulescu
2025	A	`ed.`	Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2025, Detroit, MI, USA, May 19-23, 2025 AAMAS Sanmay Das, Ann Nowé, Yevgeniy Vorobeychik
2025	—	`conf`	Reinforcement Learning for Model-Free Control of a Cooling Network with Uncertain Future Demands. ICINCO (1) Jeroen Willems, Denis Steckelmacher, Wouter Scholte, Bruno Depraetere, Edward Kikken, Abdellatif Bey-Temsamani, Ann Nowé
2024	A	`conf`	A Reinforcement Learning Framework for Studying Group and Individual Fairness. AAMAS Alexandra Cimpean, Catholijn M. Jonker, Pieter Libin, Ann Nowé
2024	B	`conf`	A Systematic Analysis of Deep Learning Algorithms in High-Dimensional Data Regimes of Limited Size. ICTAI Simon Jaxy, Ann Nowé, Pieter Libin
2024	J	`jnl`	Depth Scaling in Graph Neural Networks: Understanding the Flat Curve Behavior. Trans. Mach. Learn. Res. Diana Gomes, Kyriakos Efthymiadis, Ann Nowé, Peter Vrancx
2024	J	`jnl`	Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning. CoRR Willem Röpke, Mathieu Reymond, Patrick Mannion, Diederik M. Roijers, Ann Nowé, Roxana Radulescu
2024	J	`jnl`	Dynamic Size Message Scheduling for Multi-Agent Communication Under Limited Bandwidth. IEEE Trans. Mob. Comput. Qingshuang Sun, Denis Steckelmacher, Yuan Yao, Ann Nowé, Raphaël Avalos
2024	J	`jnl`	Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning. Expert Syst. Appl. Mathieu Reymond, Conor F. Hayes, Lander Willem, Roxana Radulescu, Steven Abrams, Diederik M. Roijers, Enda Howley, Patrick Mannion, Niel Hens, Ann Nowé, Pieter Libin
2024	J	`jnl`	Human-Readable Programs as Actors of Reinforcement Learning Agents Using Critic-Moderated Evolution. CoRR Senne Deproost, Denis Steckelmacher, Ann Nowé
2024	A	`conf`	Interactively Learning the User's Utility for Best-Arm Identification in Multi-Objective Multi-Armed Bandits. AAMAS Mathieu Reymond, Eugenio Bargiacchi, Diederik M. Roijers, Ann Nowé
2024	J	`jnl`	Laser Learning Environment: A new environment for coordination-critical multi-agent tasks. CoRR Yannick Molinghen, Raphaël Avalos, Mark Van Achter, Ann Nowé, Tom Lenaerts
2024	J	`jnl`	MOMAland: A Set of Benchmarks for Multi-Objective Multi-Agent Reinforcement Learning. CoRR Florian Felten, Umut Ucak, Hicham Azmani, Gao Peng, Willem Röpke, Hendrik Baier, Patrick Mannion, Diederik M. Roijers, Jordan K. Terry, El-Ghazali Talbi, Grégoire Danoy, Ann Nowé, Roxana Radulescu
2024	J	`jnl`	Mitigating Biases in Collective Decision-Making: Enhancing Performance in the Face of Fake News. CoRR Axel Abels, Elias Fernández Domingos, Ann Nowé, Tom Lenaerts
2024	J	`jnl`	Online Planning in POMDPs with State-Requests. RLJ Raphaël Avalos, Eugenio Bargiacchi, Ann Nowé, Diederik M. Roijers, Frans A. Oliehoek
2024	J	`jnl`	Online Planning in POMDPs with State-Requests. CoRR Raphaël Avalos, Eugenio Bargiacchi, Ann Nowé, Diederik M. Roijers, Frans A. Oliehoek
2024	J	`jnl`	Optimistic Reinforcement Learning-Based Skill Insertions for Task and Motion Planning. IEEE Robotics Autom. Lett. Gaoyuan Liu, Joris De Winter, Yuri Durodié, Denis Steckelmacher, Ann Nowé, Bram Vanderborght
2024	J	`jnl`	Prioritization of oligogenic variant combinations in whole exomes. Bioinform. Barbara Gravel, Alexandre Renaux, Sofia Papadimitriou, Guillaume Smits, Ann Nowé, Tom Lenaerts
2024	J	`jnl`	Stochastic Games (Dagstuhl Seminar 24231). Dagstuhl Reports Nathanaël Fijalkow, Jan Kretínský, Ann Nowé, Gabriel Bathie
2024	J	`jnl`	Synthesis of Hierarchical Controllers Based on Deep Reinforcement Learning Policies. CoRR Florent Delgrange, Guy Avni, Anna Lukina, Christian Schilling, Ann Nowé, Guillermo A. Pérez
2024	A*	`conf`	The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models. ICLR Raphaël Avalos, Florent Delgrange, Ann Nowé, Guillermo A. Pérez, Diederik M. Roijers
2024	A	`conf`	Trustworthy Reinforcement Learning: Opportunities and Challenges. AAMAS Ann Nowé
2024	—	`conf`	Understanding Feature/Structure Interplay in Graph Neural Networks. LoG Diana Gomes, Ann Nowé, Peter Vrancx
2024	J	`jnl`	User Evaluation of a Shared Robot Control System Combining BCI and Eye Tracking in a Portable Augmented Reality User Interface. Sensors Arnau Dillen, Mohsen Omidi, Fakhreddine Ghaffari, Olivier Romain, Bram Vanderborght, Bart Roelands, Ann Nowé, Kevin De Pauw
2023	A	`conf`	A Brief Guide to Multi-Objective Reinforcement Learning and Planning. AAMAS Conor F. Hayes, Roxana Radulescu, Eugenio Bargiacchi, Johan Källström, Matthew Macfarlane, Mathieu Reymond, Timothy Verstraeten, Luisa M. Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers
2023	A	`conf`	A Study of Nash Equilibria in Multi-Objective Normal-Form Games. AAMAS Willem Röpke, Diederik M. Roijers, Ann Nowé, Roxana Radulescu
2023	A*	`conf`	A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning. NeurIPS Florian Felten, Lucas N. Alegre, Ann Nowé, Ana L. C. Bazzan, El-Ghazali Talbi, Grégoire Danoy, Bruno C. da Silva
2023	J	`jnl`	A knowledge graph approach to predict and interpret disease-causing gene interactions. BMC Bioinform. Alexandre Renaux, Chloé Terwagne, Michael Cochez, Ilaria Tiddi, Ann Nowé, Tom Lenaerts
2023	J	`jnl`	Actor-critic multi-objective reinforcement learning for non-linear utility functions. Auton. Agents Multi Agent Syst. Mathieu Reymond, Conor F. Hayes, Denis Steckelmacher, Diederik M. Roijers, Ann Nowé
2023	A	`conf`	Bridging the Gap Between Single and Multi Objective Games. AAMAS Willem Röpke, Carla Groenland, Roxana Radulescu, Ann Nowé, Diederik M. Roijers
2023	J	`jnl`	Bridging the Gap Between Single and Multi Objective Games. CoRR Willem Röpke, Carla Groenland, Roxana Radulescu, Ann Nowé, Diederik M. Roijers
2023	J	`jnl`	Dealing with expert bias in collective decision-making. Artif. Intell. Axel Abels, Tom Lenaerts, Vito Trianni, Ann Nowé
2023	A*	`conf`	Distributional Multi-Objective Decision Making. IJCAI Willem Röpke, Conor F. Hayes, Patrick Mannion, Enda Howley, Ann Nowé, Diederik M. Roijers
2023	J	`jnl`	Distributional Multi-Objective Decision Making. CoRR Willem Röpke, Conor F. Hayes, Patrick Mannion, Enda Howley, Ann Nowé, Diederik M. Roijers
2023	J	`jnl`	Dynamic Size Message Scheduling for Multi-Agent Communication under Limited Bandwidth. CoRR Qingshuang Sun, Denis Steckelmacher, Yuan Yao, Ann Nowé, Raphaël Avalos
2023	A	`ed.`	ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland - Including 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023) ECAI Kobi Gal, Ann Nowé, Grzegorz J. Nalepa, Roy Fairstein, Roxana Radulescu
2023	J	`jnl`	Evaluating COVID-19 vaccine allocation policies using Bayesian m-top exploration. CoRR Alexandra Cimpean, Timothy Verstraeten, Lander Willem, Niel Hens, Ann Nowé, Pieter Libin
2023	A*	`conf`	Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making. ICML Axel Abels, Tom Lenaerts, Vito Trianni, Ann Nowé
2023	J	`jnl`	Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making. CoRR Axel Abels, Tom Lenaerts, Vito Trianni, Ann Nowé
2023	J	`jnl`	Faster and more accurate pathogenic combination predictions with VarCoPP2.0. BMC Bioinform. Nassim Versbraegen, Barbara Gravel, Charlotte Nachtegael, Alexandre Renaux, Emma Verkinderen, Ann Nowé, Tom Lenaerts, Sofia Papadimitriou
2023	—	`conf`	Laser Learning Environment: A New Environment for Coordination-Critical Multi-agent Tasks. BNAIC/BENELEARN Yannick Molinghen, Raphaël Avalos, Mark Van Achter, Ann Nowé, Tom Lenaerts
2023	J	`jnl`	Local Advantage Networks for Multi-Agent Reinforcement Learning in Dec-POMDPs. Trans. Mach. Learn. Res. Raphaël Avalos, Mathieu Reymond, Ann Nowé, Diederik M. Roijers
2023	A*	`conf`	Multi-Step Generalized Policy Improvement by Leveraging Approximate Models. NeurIPS Lucas Nunes Alegre, Ana L. C. Bazzan, Ann Nowé, Bruno C. da Silva
2023	J	`jnl`	Safe reinforcement learning with self-improving hard constraints for multi-energy management systems. CoRR Glenn Ceusters, Muhammad Andy Putratama, Rüdiger Franke, Ann Nowé, Maarten Messagie
2023	A	`conf`	Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization. AAMAS Lucas Nunes Alegre, Ana L. C. Bazzan, Diederik M. Roijers, Ann Nowé, Bruno C. da Silva
2023	J	`jnl`	Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization. CoRR Lucas Nunes Alegre, Ana L. C. Bazzan, Diederik M. Roijers, Ann Nowé, Bruno C. da Silva
2023	J	`jnl`	Synergistic Task and Motion Planning With Reinforcement Learning-Based Non-Prehensile Actions. IEEE Robotics Autom. Lett. Gaoyuan Liu, Joris De Winter, Denis Steckelmacher, Roshan Kumar Hota, Ann Nowé, Bram Vanderborght
2023	J	`jnl`	The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models. CoRR Raphaël Avalos, Florent Delgrange, Ann Nowé, Guillermo A. Pérez, Diederik M. Roijers
2023	J	`jnl`	Transferring Multiple Policies to Hotstart Reinforcement Learning in an Air Compressor Management Problem. CoRR Hélène Plisnier, Denis Steckelmacher, Jeroen Willems, Bruno Depraetere, Ann Nowé
2023	A*	`conf`	Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees. ICLR Florent Delgrange, Ann Nowé, Guillermo A. Pérez
2023	J	`jnl`	Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees. CoRR Florent Delgrange, Ann Nowé, Guillermo A. Pérez
2022	J	`jnl`	A practical guide to multi-objective reinforcement learning and planning. Auton. Agents Multi Agent Syst. Conor F. Hayes, Roxana Radulescu, Eugenio Bargiacchi, Johan Källström, Matthew Macfarlane, Mathieu Reymond, Timothy Verstraeten, Luisa M. Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers
2022	A*	`conf`	Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes. AAAI Florent Delgrange, Ann Nowé, Guillermo A. Pérez
2022	J	`jnl`	Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning. CoRR Mathieu Reymond, Conor F. Hayes, Lander Willem, Roxana Radulescu, Steven Abrams, Diederik M. Roijers, Enda Howley, Patrick Mannion, Niel Hens, Ann Nowé, Pieter Libin
2022	—	`conf`	Fast Initialization of Control Parameters using Supervised Learning on Data from Similar Assets. CCTA Jeroen Willems, Kerem Eryilmaz, Denis Steckelmacher, Bruno Depraetere, Rian Beck, Abdellatif Bey-Temsamani, Jan Helsen, Ann Nowé
2022	A	`conf`	Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning. AAMAS Raphaël Avalos, Mathieu Reymond, Ann Nowé, Diederik M. Roijers
2022	—	`conf`	Natural gradient evolution strategies for adaptive sampling. GECCO Companion Nixon K. Ronoh, Edna Milgo, Ambrose K. Kiprop, Bernard Manderick, Ann Nowé
2022	J	`jnl`	On nash equilibria in normal-form games with vectorial payoffs. Auton. Agents Multi Agent Syst. Willem Röpke, Diederik M. Roijers, Ann Nowé, Roxana Radulescu
2022	J	`jnl`	Opponent learning awareness and modelling in multi-objective normal form games. Neural Comput. Appl. Roxana Radulescu, Timothy Verstraeten, Yijie Zhang, Patrick Mannion, Diederik M. Roijers, Ann Nowé
2022	A	`conf`	Pareto Conditioned Networks. AAMAS Mathieu Reymond, Eugenio Bargiacchi, Ann Nowé
2022	J	`jnl`	Pareto Conditioned Networks. CoRR Mathieu Reymond, Eugenio Bargiacchi, Ann Nowé
2022	J	`jnl`	Safe reinforcement learning for multi-energy management systems with known constraint functions. CoRR Glenn Ceusters, Luis Ramirez Camargo, Rüdiger Franke, Ann Nowé, Maarten Messagie
2022	J	`jnl`	Scaling up oligogenic diseases research with OLIDA: the Oligogenic Diseases Database. Database J. Biol. Databases Curation Charlotte Nachtegael, Barbara Gravel, Arnau Dillen, Guillaume Smits, Ann Nowé, Sofia Papadimitriou, Tom Lenaerts
2021	J	`jnl`	A Practical Guide to Multi-Objective Reinforcement Learning and Planning. CoRR Conor F. Hayes, Roxana Radulescu, Eugenio Bargiacchi, Johan Källström, Matthew Macfarlane, Mathieu Reymond, Timothy Verstraeten, Luisa M. Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers
2021	A	`ed.`	AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, Virtual Event, United Kingdom, May 3-7, 2021. AAMAS Frank Dignum, Alessio Lomuscio, Ulle Endriss, Ann Nowé
2021	J	`jnl`	Autonomous agents and multiagent systems: perspectives on 20 years of AAMAS. AI Matters Ulle Endriss, Ann Nowé, Maria L. Gini, Victor R. Lesser, Michael Luck, Ana Paiva, Jaime Simão Sichman
2021	J	`jnl`	Autonomous assembly planning of demonstrated skills with reinforcement learning in simulation. Auton. Robots Joris De Winter, Ilias El Makrini, Greet Van de Perre, Ann Nowé, Tom Verstraten, Bram Vanderborght
2021	J	`jnl`	Dealing with Expert Bias in Collective Decision-Making. CoRR Axel Abels, Tom Lenaerts, Vito Trianni, Ann Nowé
2021	J	`jnl`	Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes (Technical Report). CoRR Florent Delgrange, Ann Nowé, Guillermo A. Pérez
2021	J	`jnl`	Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning. CoRR Raphaël Avalos, Mathieu Reymond, Ann Nowé, Diederik M. Roijers
2021	J	`jnl`	Model-predictive control and reinforcement learning in multi-energy system case studies. CoRR Glenn Ceusters, Román Cantú Rodríguez, Alberte Bouso García, Rüdiger Franke, Geert Deconinck, Lieve Helsen, Ann Nowé, Maarten Messagie, Luis Ramirez Camargo
2021	—	`conf`	MoveRL: To a Safer Robotic Reinforcement Learning Environment. BNAIC/BENELEARN Gaoyuan Liu, Joris De Winter, Bram Vanderborght, Ann Nowé, Denis Steckelmacher
2021	J	`jnl`	On Nash Equilibria in Normal-Form Games With Vectorial Payoffs. CoRR Willem Röpke, Diederik M. Roijers, Ann Nowé, Roxana Radulescu
2021	J	`jnl`	Preference Communication in Multi-Objective Normal-Form Games. CoRR Willem Röpke, Diederik M. Roijers, Ann Nowé, Roxana Radulescu
2021	J	`jnl`	Synthesising Reinforcement Learning Policies through Set-Valued Inductive Rule Learning. CoRR Youri Coppens, Denis Steckelmacher, Catholijn M. Jonker, Ann Nowé
2021	J	`jnl`	The CLAIRE COVID-19 initiative: approach, experiences and recommendations. Ethics Inf. Technol. Gianluca Bontempi, Ricardo Chavarriaga, Hans ed Canck, Emanuela Girardi, Holger H. Hoos, Iarla Kilbane-Dawe, Tonio Ball, Ann Nowé, Jose Sousa, Davide Bacciu, Marco Aldinucci, Manlio ed Domenico, Alessandro Saffiotti, Marco Maratea
2021	J	`jnl`	The energy saving potential of retrofitting a smart heating system: A residence hall pilot study. Sustain. Comput. Informatics Syst. Yannick De Bock, Andres Auquilla, Ellen Bracquené, Ann Nowé, Joost R. Duflou
2020	J	`jnl`	A utility-based analysis of equilibria in multi-objective normal form games. CoRR Roxana Radulescu, Patrick Mannion, Yijie Zhang, Diederik M. Roijers, Ann Nowé
2020	J	`jnl`	A utility-based analysis of equilibria in multi-objective normal-form games. Knowl. Eng. Rev. Roxana Radulescu, Patrick Mannion, Yijie Zhang, Diederik M. Roijers, Ann Nowé
2020	J	`jnl`	AI-Toolbox: A C++ library for Reinforcement Learning and Planning (with Python Bindings). J. Mach. Learn. Res. Eugenio Bargiacchi, Diederik M. Roijers, Ann Nowé
2020	B	`conf`	An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling. FUZZ-IEEE Isel Grau, Dipankar Sengupta, María Matilde García Lorenzo, Ann Nowé
2020	J	`jnl`	An interpretable semi-supervised classifier using two different strategies for amended self-labeling. CoRR Isel Grau, Dipankar Sengupta, María Matilde García Lorenzo, Ann Nowé
2020	B	`conf`	Collective Decision-Making as a Contextual Multi-armed Bandit Problem. ICCCI Axel Abels, Tom Lenaerts, Vito Trianni, Ann Nowé
2020	—	`conf`	Deep Reinforcement Learning for Large-Scale Epidemic Control. ECML/PKDD (5) Pieter J. K. Libin, Arno Moonens, Timothy Verstraeten, Fabian Perez-Sanjines, Niel Hens, Philippe Lemey, Ann Nowé
2020	J	`jnl`	Deep reinforcement learning for large-scale epidemic control. CoRR Pieter Libin, Arno Moonens, Timothy Verstraeten, Fabian Perez-Sanjines, Niel Hens, Philippe Lemey, Ann Nowé
2020	A	`conf`	Fleet Control Using Coregionalized Gaussian Process Policy Iteration. ECAI Timothy Verstraeten, Pieter J. K. Libin, Ann Nowé
2020	B	`conf`	How Expert Confidence Can Improve Collective Decision-Making in Contextual Multi-Armed Bandit Problems. ICCCI Axel Abels, Tom Lenaerts, Vito Trianni, Ann Nowé
2020	—	`conf`	Interactive Multi-objective Reinforcement Learning in Multi-armed Bandits with Gaussian Process Utility Models. ECML/PKDD (3) Diederik M. Roijers, Luisa M. Zintgraf, Pieter Libin, Mathieu Reymond, Eugenio Bargiacchi, Ann Nowé
2020	J	`jnl`	Model-based Multi-Agent Reinforcement Learning with Cooperative Prioritized Sweeping. CoRR Eugenio Bargiacchi, Timothy Verstraeten, Diederik M. Roijers, Ann Nowé
2020	—	`conf`	Multi-Agent Reinforcement Learning Tool for Job Shop Scheduling Problems. OLA Yailen Martínez-Jiménez, Jessica Coto Palacio, Ann Nowé
2020	A	`conf`	Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey. AAMAS Roxana Radulescu, Patrick Mannion, Diederik M. Roijers, Ann Nowé
2020	J	`jnl`	Multi-objective multi-agent decision making: a utility-based analysis and survey. Auton. Agents Multi Agent Syst. Roxana Radulescu, Patrick Mannion, Diederik M. Roijers, Ann Nowé
2020	J	`jnl`	Nonparametric user activity modelling and prediction. User Model. User Adapt. Interact. Yannick De Bock, Andres Auquilla, Ann Nowé, Joost R. Duflou
2020	J	`jnl`	Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games. CoRR Roxana Radulescu, Timothy Verstraeten, Yijie Zhang, Patrick Mannion, Diederik M. Roijers, Ann Nowé
2020	A	`conf`	Opponent Modelling for Reinforcement Learning in Multi-Objective Normal Form Games. AAMAS Yijie Zhang, Roxana Radulescu, Patrick Mannion, Diederik M. Roijers, Ann Nowé
2020	—	`conf`	Synthesising Reinforcement Learning Policies Through Set-Valued Inductive Rule Learning. TAILOR Youri Coppens, Denis Steckelmacher, Catholijn M. Jonker, Ann Nowé
2020	A	`conf`	Thompson Sampling for Factored Multi-Agent Bandits. AAMAS Timothy Verstraeten, Eugenio Bargiacchi, Pieter J. K. Libin, Diederik M. Roijers, Ann Nowé
2020	A	`conf`	Toll-Based Learning for Minimising Congestion under Heterogeneous Preferences. AAMAS Gabriel de Oliveira Ramos, Roxana Radulescu, Ann Nowé, Anderson R. Tavares
2020	J	`jnl`	Toll-based reinforcement learning for efficient equilibria in route choice. Knowl. Eng. Rev. Gabriel de Oliveira Ramos, Bruno C. da Silva, Roxana Radulescu, Ana L. C. Bazzan, Ann Nowé
2019	—	`conf`	A Motorized Wheelchair that Learns to Make its Way through a Crowd. BNAIC/BENELEARN Denis Steckelmacher, Hélène Plisnier, Ann Nowé
2019	—	`conf`	A Multi-objective Reinforcement Learning Algorithm for JSSP. ICANN (1) Beatriz M. Méndez-Hernández, Erick D. Rodríguez Bazan, Yailen Martínez-Jiménez, Pieter Libin, Ann Nowé
2019	—	`conf`	A Virtual Maze Game to Explain Reinforcement Learning. BNAIC/BENELEARN Youri Coppens, Eugenio Bargiacchi, Ann Nowé
2019	J	`jnl`	Accelerating Interactive Reinforcement Learning by Human Advice for an Assembly Task by a Cobot. Robotics Joris De Winter, Albert De Beir, Ilias El Makrini, Greet Van de Perre, Ann Nowé, Bram Vanderborght
2019	—	`conf`	Action Learning and Grounding in Simulated Human-Robot Interactions. BNAIC/BENELEARN Oliver Roesler, Ann Nowé
2019	J	`jnl`	Action learning and grounding in simulated human-robot interactions. Knowl. Eng. Rev. Oliver Roesler, Ann Nowé
2019	B	`conf`	Bayesian Anytime m-top Exploration. ICTAI Pieter Libin, Timothy Verstraeten, Diederik M. Roijers, Wenjia Wang, Kristof Theys, Ann Nowé
2019	B	`conf`	Deep hybrid approach for 3D plane segmentation. ESANN Felipe Gomez Marulanda, Pieter Libin, Timothy Verstraeten, Ann Nowé
2019	—	`conf`	DuStt - A Speech-to-Text Engine for Dutch. BNAIC/BENELEARN Willem Röpke, Roxana Radulescu, Kyriakos Efthymiadis, Ann Nowé
2019	A*	`conf`	Dynamic Weights in Multi-Objective Deep Reinforcement Learning. ICML Axel Abels, Diederik M. Roijers, Tom Lenaerts, Ann Nowé, Denis Steckelmacher
2019	—	`conf`	Failure Avoidance for Wind Turbines through Fleetwide Control. BNAIC/BENELEARN Timothy Verstraeten, Ann Nowé, Jan Helsen
2019	J	`jnl`	Fleet Control using Coregionalized Gaussian Process Policy Iteration. CoRR Timothy Verstraeten, Pieter J. K. Libin, Ann Nowé
2019	J	`jnl`	Fleetwide data-enabled reliability improvement of wind turbines. CoRR Timothy Verstraeten, Ann Nowé, Jonathan Keller, Yi Guo, Shuangwen Sheng, Jan Helsen
2019	A	`conf`	GUARDIAML: Machine Learning-Assisted Dynamic Information Flow Control. SANER Angel Luis Scull Pupo, Jens Nicolay, Kyriakos Efthymiadis, Ann Nowé, Coen De Roover, Elisa Gonzalez Boix
2019	J	`jnl`	IPC-Net: 3D point-cloud segmentation using deep inter-point convolutional layers. CoRR Felipe Gomez Marulanda, Pieter Libin, Timothy Verstraeten, Ann Nowé
2019	—	`conf`	Improving Zero-Intelligence Plus for Call Markets. BNAIC/BENELEARN Jannick Hemelhof, Mihail Mihaylov, Ann Nowé
2019	—	`conf`	Multi-Agent Reinforcement Learning Tool for Job Shop Scheduling Problems. BNAIC/BENELEARN Jessica Coto Palacio, Yailen Martínez-Jiménez, Ann Nowé
2019	J	`jnl`	Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey. CoRR Roxana Radulescu, Patrick Mannion, Diederik M. Roijers, Ann Nowé
2019	J	`jnl`	ORVAL: a novel platform for the prediction and exploration of disease-causing oligogenic variant combinations. Nucleic Acids Res. Alexandre Renaux, Sofia Papadimitriou, Nassim Versbraegen, Charlotte Nachtegael, Simon Boutry, Ann Nowé, Guillaume Smits, Tom Lenaerts
2019	A*	`conf`	Per-Decision Option Discounting. ICML Anna Harutyunyan, Peter Vrancx, Philippe Hamel, Ann Nowé, Doina Precup
2019	—	`conf`	Privacy Preserving Reinforcement Learning over Distributed Datasets. BNAIC/BENELEARN Regis Loeb, Timothy Verstraeten, Ann Nowé, Ann Dooms
2019	—	`conf`	Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics. BNAIC/BENELEARN Denis Steckelmacher, Hélène Plisnier, Diederik M. Roijers, Ann Nowé
2019	—	`conf`	Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics. ECML/PKDD (3) Denis Steckelmacher, Hélène Plisnier, Diederik M. Roijers, Ann Nowé
2019	J	`jnl`	Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics. CoRR Denis Steckelmacher, Hélène Plisnier, Diederik M. Roijers, Ann Nowé
2019	B	`conf`	Synaptic Learning of Long-Term Cognitive Networks with Inputs. IJCNN Richar Sosa, Alejandro Alfonso, Gonzalo Nápoles, Rafael Bello, Koen Vanhoof, Ann Nowé
2019	J	`jnl`	The Actor-Advisor: Policy Gradient With Off-Policy Advice. CoRR Hélène Plisnier, Denis Steckelmacher, Diederik M. Roijers, Ann Nowé
2019	J	`jnl`	Thompson Sampling for Factored Multi-Agent Bandits. CoRR Timothy Verstraeten, Eugenio Bargiacchi, Pieter J. K. Libin, Diederik M. Roijers, Ann Nowé
2019	—	`conf`	Thompson Sampling for m-top Exploration. BNAIC/BENELEARN Pieter Libin, Timothy Verstraeten, Diederik M. Roijers, Wenjia Wang, Kristof Theys, Ann Nowé
2019	—	`conf`	Towards a Phylogenetic Measure to Quantify HIV Incidence. BNAIC/BENELEARN Pieter Libin, Nassim Versbraegen, Ana B. Abecasis, Perpetua Gomes, Tom Lenaerts, Ann Nowé
2019	—	`conf`	Towards a Phylogenetic Measure to Quantify HIV Incidence. BNAIC/BENELEARN (Selected Papers) Pieter Libin, Nassim Versbraegen, Ana B. Abecasis, Perpetua Gomes, Tom Lenaerts, Ann Nowé
2019	—	`conf`	Training a Speech-to-Text Model for Dutch on the Corpus Gesproken Nederlands. BNAIC/BENELEARN Willem Röpke, Roxana Radulescu, Kyriakos Efthymiadis, Ann Nowé
2019	J	`jnl`	Transfer Learning Across Simulated Robots With Different Sensors. CoRR Hélène Plisnier, Denis Steckelmacher, Diederik M. Roijers, Ann Nowé
2019	—	`conf`	Transfer Reinforcement Learning across Environment Dynamics with Multiple Advisors. BNAIC/BENELEARN Hélène Plisnier, Denis Steckelmacher, Diederik M. Roijers, Ann Nowé
2018	J	`jnl`	A New Method For Personnel Selection Based On Ranking Aggregation Using A Reinforcement Learning Approach. Computación y Sistemas Yaima Filiberto Cabrera, Rafael Bello Pérez, Ann Nowé
2018	—	`conf`	A Reinforcement Learning Approach for the Report Scheduling Process Under Multiple Constraints. IWAIPR Beatriz M. Méndez-Hernández, Jessica Coto Palacio, Yailen Martínez-Jiménez, Ann Nowé, Erick D. Rodríguez Bazan
2018	—	`conf`	A Solution for the Team Selection Problem Using ACO. ANTS Conference Lázaro Lugo, Marilyn Bello, Ann Nowé, Rafael Bello
2018	A*	`conf`	Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees. AAAI Dennis J. N. J. Soemers, Tim Brys, Kurt Driessens, Mark H. M. Winands, Ann Nowé
2018	—	`conf`	Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies. ECML/PKDD (3) Pieter J. K. Libin, Timothy Verstraeten, Diederik M. Roijers, Jelena Grujic, Kristof Theys, Philippe Lemey, Ann Nowé
2018	—	`conf`	Deep Multi-agent Reinforcement Learning in a Homogeneous Open Population. BNCAI Roxana Radulescu, Manon Legrand, Kyriakos Efthymiadis, Diederik M. Roijers, Ann Nowé
2018	J	`jnl`	Directed Policy Gradient for Safe Reinforcement Learning with Human Advice. CoRR Hélène Plisnier, Denis Steckelmacher, Tim Brys, Diederik M. Roijers, Ann Nowé
2018	J	`jnl`	Dynamic Weights in Multi-Objective Deep Reinforcement Learning. CoRR Axel Abels, Diederik M. Roijers, Tom Lenaerts, Ann Nowé, Denis Steckelmacher
2018	J	`jnl`	ED-FNN: A New Deep Learning Algorithm to Detect Percentage of the Gait Cycle for Powered Prostheses. Sensors Huong Thi Thu Vu, Felipe Gomez Marulanda, Pierre Cherelle, Dirk Lefeber, Ann Nowé, Bram Vanderborght
2018	B	`conf`	IPC-Net: 3D Point-Cloud Segmentation Using Deep Inter-Point Convolutional Layers. ICTAI Felipe Gomez Marulanda, Pieter Libin, Timothy Verstraeten, Ann Nowé
2018	—	`conf`	Intelligent Electric Water Heater Control with Varying State Information. SmartGridComm Christophe Patyn, Thijs Peirelinck, Geert Deconinck, Ann Nowé
2018	A*	`conf`	Learning With Options That Terminate Off-Policy. AAAI Anna Harutyunyan, Peter Vrancx, Pierre-Luc Bacon, Doina Precup, Ann Nowé
2018	A*	`conf`	Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems. ICML Eugenio Bargiacchi, Timothy Verstraeten, Diederik M. Roijers, Ann Nowé, Hado van Hasselt
2018	J	`jnl`	Modelling incomplete information in Boolean games using possibilistic logic. Int. J. Approx. Reason. Sofie De Clercq, Steven Schockaert, Ann Nowé, Martine De Cock
2018	A	`conf`	Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making. AAMAS Luisa M. Zintgraf, Diederik M. Roijers, Sjoerd Linders, Catholijn M. Jonker, Ann Nowé
2018	J	`jnl`	Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making. CoRR Luisa M. Zintgraf, Diederik M. Roijers, Sjoerd Linders, Catholijn M. Jonker, Ann Nowé
2018	A*	`conf`	Reinforcement Learning in POMDPs With Memoryless Options and Option-Observation Initiation Sets. AAAI Denis Steckelmacher, Diederik M. Roijers, Anna Harutyunyan, Peter Vrancx, Hélène Plisnier, Ann Nowé
2017	—	`conf`	An Importance Sampling Approach to the Estimation of Algorithm Performance in Automated Algorithm Design. LION Steven Adriaensen, Filip Moons, Ann Nowé
2017	A	`conf`	Analysing Congestion Problems in Multi-agent Reinforcement Learning. AAMAS Roxana Radulescu, Peter Vrancx, Ann Nowé
2017	J	`jnl`	Analysing Congestion Problems in Multi-agent Reinforcement Learning. CoRR Roxana Radulescu, Peter Vrancx, Ann Nowé
2017	J	`jnl`	Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies. CoRR Pieter Libin, Timothy Verstraeten, Diederik M. Roijers, Jelena Grujic, Kristof Theys, Philippe Lemey, Ann Nowé
2017	—	`conf`	Clustering methodology for smart metering data based on local and global features. IML Leticia Arco, Gladys Casas, Ann Nowé
2017	A*	`conf`	Coordinating Human and Agent Behavior in Collective-Risk Scenarios. AAAI Elias Fernández Domingos, Juan-Carlos Burguillo, Ann Nowé, Tom Lenaerts
2017	J	`jnl`	Discovering knowledge from data clustering using automatically-defined interval type-2 fuzzy predicates. Expert Syst. Appl. Diego S. Comas, Gustavo J. Meschino, Ann Nowé, Virginia Laura Ballarin
2017	—	`conf`	Efficient Evaluation of Influenza Mitigation Strategies Using Preventive Bandits. AAMAS Workshops (Visionary Papers) Pieter Libin, Timothy Verstraeten, Kristof Theys, Diederik M. Roijers, Peter Vrancx, Ann Nowé
2017	J	`jnl`	Exact and heuristic methods for solving Boolean games. Auton. Agents Multi Agent Syst. Sofie De Clercq, Kim Bauters, Steven Schockaert, Mihail Mihaylov, Ann Nowé, Martine De Cock
2017	—	`conf`	Interactive Thompson Sampling for Multi-objective Multi-armed Bandits. ADT Diederik M. Roijers, Luisa M. Zintgraf, Ann Nowé
2017	J	`jnl`	Learning with Options that Terminate Off-Policy. CoRR Anna Harutyunyan, Peter Vrancx, Pierre-Luc Bacon, Doina Precup, Ann Nowé
2017	J	`jnl`	Multi-objectivization and ensembles of shapings in reinforcement learning. Neurocomputing Tim Brys, Anna Harutyunyan, Peter Vrancx, Ann Nowé, Matthew E. Taylor
2017	J	`jnl`	PhyloGeoTool: interactively exploring large phylogenies in an epidemiological context. Bioinform. Pieter Libin, Ewout Vanden Eynden, Francesca Incardona, Ann Nowé, Antonia Bezenchek, EucoHIV Study Group, Anders Sönnerborg, Anne-Mieke Vandamme, Kristof Theys, Guy Baele
2017	J	`jnl`	Reinforcement Learning in POMDPs with Memoryless Options and Option-Observation Initiation Sets. CoRR Denis Steckelmacher, Diederik M. Roijers, Anna Harutyunyan, Peter Vrancx, Ann Nowé
2017	J	`jnl`	Socio-cognitively inspired ant colony optimization. J. Comput. Sci. Aleksander Byrski, Ewelina Swiderska, Jakub Lasisz, Marek Kisiel-Dorohinicki, Tom Lenaerts, Dana Samson, Bipin Indurkhya, Ann Nowé
2016	—	`conf`	A Gentle Introduction to Reinforcement Learning. SUM Ann Nowé, Tim Brys
2016	J	`jnl`	A reinforcement learning approach to coordinate exploration with limited communication in continuous action games. Knowl. Eng. Rev. Abdel Rodríguez, Peter Vrancx, Ricardo Grau, Ann Nowé
2016	J	`jnl`	An adaptive rule-based classifier for mining big biological data. Expert Syst. Appl. Dewan Md. Farid, M. Abdulla Al Mamun, Bernard Manderick, Ann Nowé
2016	—	`conf`	Analysing the Impact of Storage and Load Shifting on Grey Energy Demand Reduction. SMARTGREENS/VEHITS (Selected Papers) Iván S. Razo-Zapata, Mihail Mihaylov, Ann Nowé
2016	B	`conf`	Case study: An analysis of accidental complexity in a state-of-the-art hyper-heuristic for HyFlex. CEC Steven Adriaensen, Ann Nowé
2016	B	`conf`	Combining Occupancy User Profiles in a Multi-user Environment: An Academic Office Case Study. Intelligent Environments Andres Auquilla, Yannick De Bock, Ann Nowé, Joost R. Duflou
2016	J	`jnl`	Context-sensitive reward shaping for sparse interaction multi-agent systems. Knowl. Eng. Rev. Yann-Michaël De Hauwere, Sam Devlin, Daniel Kudenko, Ann Nowé
2016	Misc	`conf`	Enhancing Particle Swarm Optimization with Socio-cognitive Inspirations. ICCS Iwan Bugajski, Piotr Listkiewicz, Aleksander Byrski, Marek Kisiel-Dorohinicki, Wojciech Korczynski, Tom Lenaerts, Dana Samson, Bipin Indurkhya, Ann Nowé
2016	—	`conf`	Ensemble of Trees for Classifying High-Dimensional Imbalanced Genomic Data. IntelliSys (1) Dewan Md. Farid, Ann Nowé, Bernard Manderick
2016	A	`conf`	Formalizing Commitment-Based Deals in Boolean Games. ECAI Sofie De Clercq, Steven Schockaert, Ann Nowé, Martine De Cock
2016	—	`conf`	Genomic Variant Classifier Tool. IntelliSys (1) Isel Grau, Dipankar Sengupta, Dewan Md. Farid, Bernard Manderick, Ann Nowé, María Matilde García Lorenzo, Dorien Daneels, Maryse Bonduelle, Didier Croes, Sonia Van Dooren
2016	—	`conf`	Integration of Load Shifting and Storage to Reduce Gray Energy Demand. SMARTGREENS Iván S. Razo-Zapata, Mihail Mihaylov, Ann Nowé
2016	—	`conf`	Measuring Diversity of Socio-Cognitively Inspired ACO Search. EvoApplications (1) Ewelina Swiderska, Jakub Lasisz, Aleksander Byrski, Tom Lenaerts, Dana Samson, Bipin Indurkhya, Ann Nowé, Marek Kisiel-Dorohinicki
2016	—	`conf`	On the upper bound for the time to rendezvous in multi-hop cognitive radio networks. CAMAD Vitalio Alfonso Reguera, Erik Ortiz Guerra, Carlos Manuel García Algora, Ann Nowé, Kris Steenhaut
2016	J	`jnl`	Personnel Selection in a Competitive Environment. Computación y Sistemas Marilyn Bello-García, Rafael Bello, María Matilde García Lorenzo, Ann Nowé
2016	—	`conf`	Poster: Comparative study of EM-MAC and TSCH/orchestra for IoT. SCVT Carlos Manuel García Algora, Ernesto Prieto Lopez, Vitalio Alfonso Reguera, Ann Nowé, Kris Steenhaut
2016	J	`jnl`	Predicting Seat-Off and Detecting Start-of-Assistance Events for Assisting Sit-to-Stand With an Exoskeleton. IEEE Robotics Autom. Lett. Kevin Tanghe, Anna Harutyunyan, Erwin Aertbeliën, Friedl De Groote, Joris De Schutter, Peter Vrancx, Ann Nowé
2016	Misc	`conf`	Smart Grid Demonstration Platform for Renewable Energy Exchange. PAAMS Mihail Mihaylov, Iván S. Razo-Zapata, Roxana Radulescu, Sergio Jurado, Narcís Avellana, Ann Nowé
2016	J	`jnl`	Solving stable matching problems using answer set programming. Theory Pract. Log. Program. Sofie De Clercq, Steven Schockaert, Martine De Cock, Ann Nowé
2016	A*	`conf`	Towards a White Box Approach to Automated Algorithm Design. IJCAI Steven Adriaensen, Ann Nowé
2015	—	`conf`	A Policy Gradient with Parameter-Based Exploration Approach for Zone-Heating. SSCI Kevin Van Vaerenbergh, Yann-Michaël De Hauwere, Bruno Depraetere, Kristof Van Moffaert, Ann Nowé
2015	J	`jnl`	A Reinforcement Learning Approach for Interdomain Routing with Link Prices. ACM Trans. Auton. Adapt. Syst. Peter Vrancx, Pasquale Gurzi, Abdel Rodríguez, Kris Steenhaut, Ann Nowé
2015	B	`conf`	A benchmark set extension and comparative study for the HyFlex framework. CEC Steven Adriaensen, Gabriela Ochoa, Ann Nowé
2015	—	`conf`	Departure MANagement with a Reinforcement Learning Approach: Respecting CFMU Slots. ITSC Ivomar Brito Soares, Yann-Michaël De Hauwere, Kris Januarius, Tim Brys, Thierry Salvant, Ann Nowé
2015	A*	`conf`	Expressing Arbitrary Reward Functions as Potential-Based Advice. AAAI Anna Harutyunyan, Sam Devlin, Peter Vrancx, Ann Nowé
2015	A	`conf`	Multi-Scale Reward Shaping via an Off-Policy Ensemble. AAMAS Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé
2015	A*	`conf`	Multilateral Negotiation in Boolean Games with Incomplete Information Using Generalized Possibilistic Logic. IJCAI Sofie De Clercq, Steven Schockaert, Ann Nowé, Martine De Cock
2015	J	`jnl`	Off-Policy Reward Shaping with Ensembles. CoRR Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé
2015	B	`conf`	Online Distributed Voltage Control of an offshore MTdc network using reinforcement learning. CEC S. Rodrigues, Rodrigo Teixeira Pinto, Pavol Bauer, Tim Brys, Ann Nowé
2015	A	`conf`	Policy Transfer using Reward Shaping. AAMAS Tim Brys, Anna Harutyunyan, Matthew E. Taylor, Ann Nowé
2015	A*	`conf`	Reinforcement Learning from Demonstration through Shaping. IJCAI Tim Brys, Anna Harutyunyan, Halit Bener Suay, Sonia Chernova, Matthew E. Taylor, Ann Nowé
2015	B	`conf`	Risk-sensitivity through multi-objective reinforcement learning. CEC Kristof Van Moffaert, Tim Brys, Ann Nowé
2015	A	`conf`	SCANERGY: a Scalable and Modular System for Energy Trading Between Prosumers. AAMAS Mihail Mihaylov, Sergio Jurado, Narcís Avellana, Iván S. Razo-Zapata, Kristof Van Moffaert, Leticia Arco, Maite Bezunartea, Isel Grau, Adrian Cañadas, Ann Nowé
2015	J	`jnl`	Schedule-based multi-channel communication in wireless sensor networks: A complete design and performance evaluation. Ad Hoc Networks Kieu-Ha Phung, Bart Lemmens, Marnix Goossens, Ann Nowé, Lan Tran, Kris Steenhaut
2015	A	`conf`	Shaping Mario with Human Advice. AAMAS Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé
2015	J	`jnl`	Solving stable matching problems using answer set programming. CoRR Sofie De Clercq, Steven Schockaert, Martine De Cock, Ann Nowé
2014	J	`jnl`	A decentralized approach for convention emergence in multi-agent systems. Auton. Agents Multi Agent Syst. Mihail Mihaylov, Karl Tuyls, Ann Nowé
2014	B	`conf`	A novel adaptive weight selection algorithm for multi-objective multi-agent reinforcement learning. IJCNN Kristof Van Moffaert, Tim Brys, Arjun Chandra, Lukas Esterle, Peter R. Lewis, Ann Nowé
2014	A	`conf`	Adaptive objective selection for correlated objectives in multi-objective reinforcement learning. AAMAS Tim Brys, Kristof Van Moffaert, Ann Nowé, Matthew E. Taylor
2014	A*	`conf`	Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence. AAAI Tim Brys, Ann Nowé, Daniel Kudenko, Matthew E. Taylor
2014	—	`conf`	Decentralized Computation of Pareto Optimal Pure Nash Equilibria of Boolean Games with Privacy Concerns . ICAART (2) Sofie De Clercq, Kim Bauters, Steven Schockaert, Mihail Mihaylov, Martine De Cock, Ann Nowé
2014	B	`conf`	Designing reusable metaheuristic methods: A semi-automated approach. IEEE Congress on Evolutionary Computation Steven Adriaensen, Tim Brys, Ann Nowé
2014	A	`conf`	Fair-share ILS: a simple state-of-the-art iterated local search hyperheuristic. GECCO Steven Adriaensen, Tim Brys, Ann Nowé
2014	J	`jnl`	Multi-objective reinforcement learning using sets of pareto dominating policies. J. Mach. Learn. Res. Kristof Van Moffaert, Ann Nowé
2014	B	`conf`	Multi-objective χ-Armed bandits. IJCNN Kristof Van Moffaert, Kevin Van Vaerenbergh, Peter Vrancx, Ann Nowé
2014	B	`conf`	Multi-objectivization of reinforcement learning problems by reward shaping. IJCNN Tim Brys, Anna Harutyunyan, Peter Vrancx, Matthew E. Taylor, Daniel Kudenko, Ann Nowé
2014	—	`conf`	NRG-X-Change - A Novel Mechanism for Trading of Renewable Energy in Smart Grids. SMARTGREENS Mihail Mihaylov, Sergio Jurado, Kristof Van Moffaert, Narcís Avellana, Ann Nowé
2014	A	`conf`	Off-Policy Shaping Ensembles in Reinforcement Learning. ECAI Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé
2014	J	`jnl`	Off-Policy Shaping Ensembles in Reinforcement Learning. CoRR Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé
2014	—	`conf`	Pareto Upper Confidence Bounds algorithms: An empirical study. ADPRL Madalina M. Drugan, Ann Nowé, Bernard Manderick
2014	B	`conf`	Possibilistic Boolean Games: Strategic Reasoning under Incomplete Information. JELIA Sofie De Clercq, Steven Schockaert, Martine De Cock, Ann Nowé
2014	A*	`conf`	Reinforcement Learning on Multiple Correlated Signals. AAAI Tim Brys, Ann Nowé
2014	B	`conf`	Scalarization based Pareto optimal set of arms identification algorithms. IJCNN Madalina M. Drugan, Ann Nowé
2014	—	`conf`	Supervised Neural Network Structure Recovery. Neural Connectomics Ildefons Magrans de Abril, Ann Nowé
2014	J	`jnl`	Turbo codes for multi-hop wireless sensor networks with decode-and-forward mechanism. EURASIP J. Wirel. Commun. Netw. Nashat Abughalieh, Kris Steenhaut, Ann Nowé, Alagan Anpalagan
2014	A*	`conf`	Using Answer Set Programming for Solving Boolean Games. KR Sofie De Clercq, Kim Bauters, Steven Schockaert, Martine De Cock, Ann Nowé
2014	A	`conf`	Using Ensemble Techniques and Multi-Objectivization to Solve Reinforcement Learning Problems. ECAI Tim Brys, Matthew E. Taylor, Ann Nowé
2013	J	`jnl`	Batch effect removal methods for microarray gene expression data integration: a survey. Briefings Bioinform. Cosmin Lazar, Stijn Meganck, Jonatan Taminau, David Steenhoff, Alain Coletta, Colin Molter, David Y. Weiss Solís, Robin Duque, Hugues Bersini, Ann Nowé
2013	B	`conf`	Designing multi-objective multi-armed bandits algorithms: A study. IJCNN Madalina M. Drugan, Ann Nowé
2013	J	`jnl`	GENESHIFT: A Nonparametric Approach for Integrating Microarray Gene Expression Data Based on the Inner Product as a Distance Measure between the Distributions of Genes. IEEE ACM Trans. Comput. Biol. Bioinform. Cosmin Lazar, Jonatan Taminau, Stijn Meganck, David Steenhoff, Alain Coletta, David Y. Weiss Solís, Colin Molter, Robin Duque, Hugues Bersini, Ann Nowé
2013	C	`conf`	Hypervolume-Based Multi-Objective Reinforcement Learning. EMO Kristof Van Moffaert, Madalina M. Drugan, Ann Nowé
2013	—	`conf`	Local search and restart strategies for satisfiability solving in fuzzy logics. GEFS Tim Brys, Madalina M. Drugan, Peter A. N. Bosman, Martine De Cock, Ann Nowé
2013	B	`conf`	Meta-Evolutionary Algorithms and recombination operators for satisfiability solving in fuzzy logics. IEEE Congress on Evolutionary Computation Tim Brys, Madalina M. Drugan, Ann Nowé
2013	—	`conf`	Model-free learning of wire winding control. ASCC Abdel Rodríguez, Peter Vrancx, Ann Nowé, Erik Hostens
2013	J	`jnl`	Modeling Stable Matching Problems with Answer Set Programming CoRR Sofie De Clercq, Steven Schockaert, Martine De Cock, Ann Nowé
2013	—	`conf`	Modeling Stable Matching Problems with Answer Set Programming. RuleML Sofie De Clercq, Steven Schockaert, Martine De Cock, Ann Nowé
2013	C	`conf`	Networks as a tool to save energy while keeping up general user comfort in buildings. LANMAN Yann-Michaël De Hauwere, Kristof Van Moffaert, Paul-Armand Verhaegen, Ann Nowé
2013	—	`conf`	On the Behaviour of Scalarization Methods for the Engagement of a Wet Clutch. ICMLA (1) Tim Brys, Kristof Van Moffaert, Kevin Van Vaerenbergh, Ann Nowé
2013	—	`conf`	Reinforcement Learning for Multi-purpose Schedules. ICAART (2) Kristof Van Moffaert, Yann-Michaël De Hauwere, Peter Vrancx, Ann Nowé
2013	—	`conf`	Scalarized multi-objective reinforcement learning: Novel design techniques. ADPRL Kristof Van Moffaert, Madalina M. Drugan, Ann Nowé
2013	A	`conf`	Solving satisfiability in fuzzy logics by mixing CMA-ES. GECCO Tim Brys, Madalina M. Drugan, Peter A. N. Bosman, Martine De Cock, Ann Nowé
2012	J	`jnl`	A Mutual Algorithm for Optimizing Distributed Source Coding in Wireless Sensor Networks. Int. J. Distributed Sens. Networks Nashat Abughalieh, Kris Steenhaut, Bart Lemmens, Ann Nowé
2012	J	`jnl`	A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. Cosmin Lazar, Jonatan Taminau, Stijn Meganck, David Steenhoff, Alain Coletta, Colin Molter, Virginie de Schaetzen, Robin Duque, Hugues Bersini, Ann Nowé
2012	A	`conf`	An RL approach to common-interest continuous action games. AAMAS Abdel Rodríguez, Peter Vrancx, Ricardo Grau Ábalo, Ann Nowé
2012	—	`conf`	Cross layer routing in optical IP/WDM multi-domain networks. ICUMT Wajdi Halabi, Kris Steenhaut, Marnix Goossens, Ann Nowé
2012	J	`jnl`	Decentralised reinforcement learning for energy-efficient scheduling in wireless sensor networks. Int. J. Commun. Networks Distributed Syst. Mihail Mihaylov, Yann-Aël Le Borgne, Karl Tuyls, Ann Nowé
2012	J	`jnl`	GA(M)E-QSAR: A Novel, Fully Automatic Genetic-Algorithm-(Meta)-Ensembles Approach for Binary Classification in Ligand-Based Drug Design. J. Chem. Inf. Model. Yunierkis Pérez-Castillo, Cosmin Lazar, Jonatan Taminau, Matheus Froeyen, Miguel Ángel Cabrera-Pérez, Ann Nowé
2012	—	`ch.`	Game Theory and Multi-agent Reinforcement Learning. Reinforcement Learning Ann Nowé, Peter Vrancx, Yann-Michaël De Hauwere
2012	J	`jnl`	Hierarchical routing and traffic grooming in IP/MPLS-based ASON/GMPLS multi-domain networks. Photonic Netw. Commun. Wajdi Halabi, Kris Steenhaut, Marnix Goossens, Thu-Huong Truong, Ann Nowé
2012	A*	`conf`	Improving Convergence of CMA-ES Through Structure-Driven Discrete Recombination. AAAI Tim Brys, Ann Nowé
2012	B	`conf`	Improving wet clutch engagement with reinforcement learning. IJCNN Kevin Van Vaerenbergh, Abdel Rodríguez, Matteo Gagliolo, Peter Vrancx, Ann Nowé, Julian Stoev, Stijn Goossens, Gregory Pinte, Wim Symens
2012	—	`conf`	Insights on Social Recommender Systems. RUE@RecSys Wolney Leal De Mello Neto, Ann Nowé
2012	—	`conf`	Learning Conflicts from Experience. MAPF@AAAI Yann-Michaël De Hauwere, Ann Nowé
2012	C	`conf`	Local linear spectral unmixing via cluster analysis and non-negative matrix factorization for hyperspectral (CHRIS/PROBA) imagery. IGARSS Cosmin Lazar, Luca Demarchi, David Steenhoff, Jonathan Cheung-Wai Chan, Ann Nowé, Hichem Sahli
2012	—	`conf`	Network-wide synchronization in Wireless Sensor Networks. SCVT Bart Lemmens, Kris Steenhaut, Peter Ruckebusch, Ingrid Moerman, Ann Nowé
2012	J	`jnl`	Optimization of common pool resource sharing in multidomain IP-over-WDM networks. Comput. Commun. Dimitri Staessens, Didier Colle, Mario Pickavet, Ann Nowé, Kris Steenhaut, Piet Demeester
2012	J	`jnl`	Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages. BMC Bioinform. Jonatan Taminau, Stijn Meganck, Cosmin Lazar, David Steenhoff, Alain Coletta, Colin Molter, Robin Duque, Virginie de Schaetzen, David Y. Weiss Solís, Hugues Bersini, Ann Nowé
2011	—	`conf`	A Reinforcement Learning Approach for the Flexible Job Shop Scheduling Problem. LION Yailen Martínez-Jiménez, Ann Nowé, Juliett Suárez, Rafael Bello
2011	—	`conf`	Adaptive Parallel Concatenation Turbo Codes for Wireless Sensor Networks. ICCIT Nashat Abughalieh, Kris Steenhaut, Ann Nowé
2011	—	`conf`	Adaptive State Representations for Multi-agent Reinforcement Learning. ICAART (2) Yann-Michaël De Hauwere, Peter Vrancx, Ann Nowé
2011	—	`conf`	Continuous Action Reinforcement Learning Automata - Performance and Convergence. ICAART (2) Abdel Rodríguez, Ricardo Grau Ábalo, Ann Nowé
2011	A	`conf`	Distributed cooperation in wireless sensor networks. AAMAS Mihail Mihaylov, Yann-Aël Le Borgne, Karl Tuyls, Ann Nowé
2011	J	`jnl`	Integrated routing in GMPLS-based IP/WDM networks. Photonic Netw. Commun. Walter Colitti, Kris Steenhaut, Didier Colle, Mario Pickavet, Jan Lemeire, Ann Nowé
2011	C	`conf`	Learning a pricing strategy in multi-domain DWDM networks. LANMAN Pasquale Gurzi, Kris Steenhaut, Ann Nowé, Peter Vrancx
2011	C	`conf`	Local Coordination in Online Distributed Constraint Optimization Problems. EUMAS Tim Brys, Yann-Michaël De Hauwere, Ann Nowé, Peter Vrancx
2011	J	`jnl`	Logical topology design for IP rerouting: ASONs versus static OTNs. Photonic Netw. Commun. Adelbert Groebbens, Didier Colle, Sophie De Maesschalck, Bart Puype, Kris Steenhaut, Mario Pickavet, Ann Nowé, Piet Demeester
2011	J	`jnl`	Molecular dynamics and docking simulations as a proof of high flexibility in J. Comput. Aided Mol. Des. Yunierkis Pérez-Castillo, Matheus Froeyen, Miguel Ángel Cabrera-Pérez, Ann Nowé
2011	—	`conf`	Parallel Concatenation vs. Serial Concatenation Turbo Codes for Wireless Sensor Networks. SCVT Nashat Abughalieh, Kris Steenhaut, Bart Lemmens, Ann Nowé
2011	—	`conf`	Reinforcement Learning for Self-organizing Wake-Up Scheduling in Wireless Sensor Networks. ICAART (Revised Selected Papers) Mihail Mihaylov, Yann-Aël Le Borgne, Karl Tuyls, Ann Nowé
2011	—	`conf`	Routing and signaling in GMPLS based DWDM multi domain multilayer networks using IP/WDM router. WOCN Wajdi Halabi, Kris Steenhaut, Ann Nowé, Pasquale Gurzi
2011	—	`conf`	Routing and traffic grooming in multi-domain optical networks. ICUMT Wajdi Halabi, Kris Steenhaut, Marnix Goossens, Ann Nowé
2011	—	`conf`	Self-organizing Synchronicity and Desynchronicity using Reinforcement Learning. ICAART (2) Mihail Mihaylov, Yann-Aël Le Borgne, Ann Nowé, Karl Tuyls
2011	—	`conf`	Solving Sparse Delayed Coordination Problems in Multi-Agent Reinforcement Learning. ALA Yann-Michaël De Hauwere, Peter Vrancx, Ann Nowé
2011	A	`conf`	Solving delayed coordination problems in MAS. AAMAS Yann-Michaël De Hauwere, Peter Vrancx, Ann Nowé
2011	—	`conf`	Transfer Learning for Multi-agent Coordination. ICAART (2) Peter Vrancx, Yann-Michaël De Hauwere, Ann Nowé
2011	J	`jnl`	inSilicoDb: an R/Bioconductor package for accessing human Affymetrix expert-curated datasets from GEO. Bioinform. Jonatan Taminau, David Steenhoff, Alain Coletta, Stijn Meganck, Cosmin Lazar, Virginie de Schaetzen, Robin Duque, Colin Molter, Hugues Bersini, Ann Nowé, David Y. Weiss Solís
2010	—	`conf`	A New Geometrical BSS Approach for Non Negative Sources. LVA/ICA Cosmin Lazar, Danielle Nuzillard, Ann Nowé
2010	J	`jnl`	Analyzing the dynamics of stigmergetic interactions through pheromone games. Theor. Comput. Sci. Peter Vrancx, Katja Verbeeck, Ann Nowé
2010	—	`conf`	Demonstrating principal component aggregation for distributed spatial pattern recognition. IPSN Yann-Aël Le Borgne, Ann Nowé, Kris Steenhaut, Gianluca Bontempi
2010	—	`conf`	Distributed regression for high-level feature extraction in wireless sensor networks. INSS Yann-Aël Le Borgne, Ann Nowé, Nashat Abughalieh, Kris Steenhaut
2010	J	`jnl`	Generalized learning automata for multi-agent reinforcement learning. AI Commun. Yann-Michaël De Hauwere, Peter Vrancx, Ann Nowé
2010	A	`conf`	Learning multi-agent state space representations. AAMAS Yann-Michaël De Hauwere, Peter Vrancx, Ann Nowé
2010	J	`jnl`	Learning to coordinate in complex networks. Adapt. Behav. Sven Van Segbroeck, Steven de Jong, Ann Nowé, Francisco C. Santos, Tom Lenaerts
2010	—	`conf`	Lifetime optimization for sensor networks with correlated data gathering. INSS Nashat Abughalieh, Yann-Aël Le Borgne, Ann Nowé, Kris Steenhaut
2010	B	`conf`	Lifetime optimization for wireless sensor networks with correlated data gathering. WiOpt Nashat Abughalieh, Yann-Aël Le Borgne, Kris Steenhaut, Ann Nowé
2010	—	`ch.`	Multi-Agent Systems and Large State Spaces. Agent and Multi-agent Technology for Internet and Enterprise Systems Yann-Michaël De Hauwere, Peter Vrancx, Ann Nowé
2010	—	`conf`	Sequential Application of Feature Selection and Extraction for Predicting Breast Cancer Aggressiveness. CSBio Jonatan Taminau, Stijn Meganck, Cosmin Lazar, David Y. Weiss Solís, Alain Coletta, Nic Walker, Hugues Bersini, Ann Nowé
2010	J	`jnl`	Service differentiation in IP/MPLS over ASON/GMPLS networks. Photonic Netw. Commun. Walter Colitti, Kris Steenhaut, Pasquale Gurzi, Ann Nowé, Didier Colle, Bart Puype, Mario Pickavet
2010	A	`conf`	Taking turns in general sum Markov games. AAMAS Peter Vrancx, Katja Verbeeck, Ann Nowé
2009	—	`conf`	Decentralized Learning in Wireless Sensor Networks. ALA Mihail Mihaylov, Karl Tuyls, Ann Nowé
2009	—	`conf`	Maximum flow based Routing and Wavelength Assignment in all-optical networks. ICUMT Pasquale Gurzi, Walter Colitti, Kris Steenhaut, Ann Nowé
2009	—	`conf`	Multi-colony ACO and Rough Set Theory to Distributed Feature Selection Problem. IWANN (2) Yudel Gómez, Rafael Bello, Ann Nowé, Enrique Casanovas, Jonatan Taminau
2009	—	`ch.`	Multi-layer Traffic Engineering (MTE) in Grooming Enabled ASON/GMPLS Networks. COST Action 291 Final Report Martin Köhn, Walter Colitti, Pasquale Gurzi, Ann Nowé, Kris Steenhaut
2009	C	`conf`	Power Aware Fulfilment of Latency Requirements by Exploiting Heterogeneity in Wireless Sensor and Actuator Networks. DSD Joris Borms, Kris Steenhaut, Bart Lemmens, Ann Nowé
2009	—	`ch.`	Software Tools and Methods for Research and Education in Optical Networks. COST Action 291 Final Report Sébastien Rumley, Christian Gaumier, Ramon Aparicio-Pardo, Ching-Hung Chang, Walter Colitti, Belen Garcia-Manrubia, Pandelis Kourtessis, Juan Antonio Martínez León, Ann Nowé, Pablo Pavón-Mariño, Joachim Scharf, Kris Steenhaut
2009	J	`jnl`	Stochastic Simulation of the Chemoton. Artif. Life Sven Van Segbroeck, Ann Nowé, Tom Lenaerts
2009	B	`conf`	The coevolution of loyalty and cooperation. IEEE Congress on Evolutionary Computation Sven Van Segbroeck, Francisco C. Santos, Ann Nowé, Jorge M. Pacheco, Tom Lenaerts
2009	J	`jnl`	Validation of Merging Techniques for Cancer Microarray Data Sets. Aust. J. Intell. Inf. Process. Syst. Jonatan Taminau, Stijn Meganck, David Y. Weiss Solís, Wilma van Staveren, Geneviève Dom, David Venet, Hugues Bersini, Vincent Detours, Ann Nowé
2008	—	`conf`	A Learning Automata Approach to Multi-agent Policy Gradient Learning. KES (2) Maarten Peeters, Ville Könönen, Katja Verbeeck, Ann Nowé
2008	—	`ed.`	Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning, 5th, 6th, and 7th European Symposium, ALAMAS 2005-2007 on Adaptive and Learning Agents and Multi-Agent Systems, Revised Selected Papers Adaptive Agents and Multi-Agent Systems Karl Tuyls, Ann Nowé, Zahia Guessoum, Daniel Kudenko
2008	—	`conf`	Adaptive multilayer routing in the next generation GMPLS Internet. COMSWARE Walter Colitti, Pasquale Gurzi, Kris Steenhaut, Ann Nowé
2008	Misc	`conf`	An Efficient Distributed Self-Organizing Routing Algorithm for Wireless Sensor Networks. CISIS Hugues Smeets, Kris Steenhaut, Ann Nowé
2008	—	`conf`	Comparing Distance Measures with Visual Methods. MICAI Isis Bonet, Abdel Rodríguez, Ricardo Grau Ábalo, María M. García, Yvan Saeys, Ann Nowé
2008	—	`conf`	Coordinated Exploration in Conflicting Multi-stage Games. KES (2) Maarten Peeters, Ville Könönen, Katja Verbeeck, Sven Van Segbroeck, Ann Nowé
2008	J	`jnl`	Decentralized Learning in Markov Games. IEEE Trans. Syst. Man Cybern. Part B Peter Vrancx, Katja Verbeeck, Ann Nowé
2008	J	`jnl`	Enabling high availability over multiple optical networks. IEEE Commun. Mag. Dimitri Staessens, Didier Colle, Ilse Lievens, Mario Pickavet, Piet Demeester, Walter Colitti, Ann Nowé, Kris Steenhaut, Ricardo Romeral
2008	—	`ch.`	Introduction to Game Theory. Wiley Encyclopedia of Computer Science and Engineering Karl Tuyls, Ann Nowé
2008	—	`conf`	Multilayer traffic engineering and DiffServ in the next generation internet. COMSWARE Walter Colitti, Kris Steenhaut, Ann Nowé
2008	—	`conf`	Speeding-Up ACO Implementation by Decreasing the Number of Heuristic Function Evaluations in Feature Selection Problem. IWPACBB Yudel Gómez, Rafael Bello, Ann Nowé, Frank Bosmans
2008	J	`jnl`	Two Step Swarm Intelligence to Solve the Feature Selection Problem. J. Univers. Comput. Sci. Yudel Gómez, Rafael Bello, Amilkar Puris, María M. García, Ann Nowé
2008	—	`conf`	Using Generalized Learning Automata for State Space Aggregation in MAS. KES (1) Yann-Michaël De Hauwere, Peter Vrancx, Ann Nowé
2007	—	`conf`	Bee Behaviour in Multi-agent Systems. Adaptive Agents and Multi-Agents Systems Nyree Lemmens, Steven de Jong, Karl Tuyls, Ann Nowé
2007	J	`jnl`	Exploring selfish reinforcement learning in repeated games with stochastic rewards. Auton. Agents Multi Agent Syst. Katja Verbeeck, Ann Nowé, Johan Parent, Karl Tuyls
2007	—	`ed.`	Knowledge Discovery and Emergent Complexity in Bioinformatics, First International Workshop, KDECB 2006, Ghent, Belgium, May 10, 2006. Revised Selected Papers KDECB Karl Tuyls, Ronald L. Westra, Yvan Saeys, Ann Nowé
2007	—	`conf`	Multilayer Quality and Grade of Service Support for High Speed GMPLS IP/DWDM Networks. NBiS Walter Colitti, Kris Steenhaut, Ann Nowé, Jan Lemeire
2007	—	`conf`	Networks of Learning Automata and Limiting Games. Adaptive Agents and Multi-Agents Systems Peter Vrancx, Katja Verbeeck, Ann Nowé
2007	—	`conf`	Optimal Convergence in Multi-Agent MDPs. KES (3) Peter Vrancx, Katja Verbeeck, Ann Nowé
2007	C	`conf`	QoS in GMPLS based IP/DWDM Metro Networks. LANMAN Walter Colitti, Kris Steenhaut, Ann Nowé
2007	—	`conf`	Solving Multi-stage Games with Hierarchical Learning Automata That Bootstrap. Adaptive Agents and Multi-Agents Systems Maarten Peeters, Katja Verbeeck, Ann Nowé
2007	C	`conf`	Two-Stage ACO to Solve the Job Shop Scheduling Problem. CIARP Amilkar Puris, Rafael Bello, Yaima Trujillo, Ann Nowé, Yailen Martínez-Jiménez
2007	—	`conf`	Two-Stage Ant Colony Optimization for Solving the Traveling Salesman Problem. IWINAC (2) Amilkar Puris, Rafael Bello, Yailen Martínez-Jiménez, Ann Nowé
2007	C	`conf`	Two-Step Particle Swarm Optimization to Solve the Feature Selection Problem. ISDA Rafael Bello, Yudel Gómez, María M. García, Ann Nowé
2006	Misc	`conf`	A New Measure Based in the Rough Set Theory to Estimate the Training Set Quality. SYNASC Yaile Caballero, Rafael Bello, Alberto Taboada-Crispí, Ann Nowé, María M. García, Gladys Casas
2006	—	`conf`	Analyzing Stigmergetic Algorithms Through Automata Games. KDECB Peter Vrancx, Katja Verbeeck, Ann Nowé
2006	—	`conf`	Knowledge Discovery and Emergent Complexity in Bioinformatics. KDECB Ronald L. Westra, Karl Tuyls, Yvan Saeys, Ann Nowé
2006	C	`conf`	Learning Automata as a Basis for Multi Agent Reinforcement Learning. EUMAS Ann Nowé, Katja Verbeeck, Maarten Peeters
2006	C	`conf`	Two Step Ant Colony System to Solve the Feature Selection Problem. CIARP Rafael Bello, Amilkar Puris, Ann Nowé, Yailen Martínez-Jiménez, María M. García
2006	J	`jnl`	Two-Stage Ant Colony System for Solving the Traveling Salesman Problem. Res. Comput. Sci. Amilkar Puris, Ann Nowé, Rafael Bello, Yailen Martínez-Jiménez
2006	—	`conf`	Using Pheromone Repulsion to Find Disjoint Paths. ANTS Workshop Peter Vrancx, Ann Nowé
2005	A	`conf`	A model based on ant colony system and rough set theory to feature selection. GECCO Rafael Bello, Ann Nowé, Yaile Caballero, Yudel Gómez, Peter Vrancx
2005	—	`ed.`	BNAIC 2005 - Proceedings of the Seventeenth Belgium-Netherlands Conference on Artificial Intelligence, Brussels, Belgium, October 17-18, 2005 BNAIC Katja Verbeeck, Karl Tuyls, Ann Nowé, Bernard Manderick, Bart Kuijpers
2005	—	`conf`	Compressed Linear Genetic Programming: empirical parameter study on the Even-n-parity problem. BNAIC Johan Parent, Ann Nowé, Anne Defaweux, Kris Steenhaut
2005	A	`conf`	Coordinated exploration in multi-agent reinforcement learning: an application to load-balancing. AAMAS Katja Verbeeck, Ann Nowé, Karl Tuyls
2005	C	`ed.`	EUMAS 2005 - Proceedings of the Third European Workshop on Multi-Agent Systems, Brussels, Belgium, December 7-8, 2005 EUMAS Marie-Pierre Gleizes, Gal A. Kaminka, Ann Nowé, Sascha Ossowski, Karl Tuyls, Katja Verbeeck
2005	J	`jnl`	Evolutionary game theory and multi-agent reinforcement learning. Knowl. Eng. Rev. Karl Tuyls, Ann Nowé
2005	B	`conf`	High-density wireless sensor networks: a new clustering approach for prediction-based monitoring. EWSN Pieter Beyens, Ann Nowé, Kris Steenhaut
2005	—	`conf`	Learning Automata as a Basis for Multi Agent Reinforcement Learning. LAMAS Ann Nowé, Katja Verbeeck, Maarten Peeters
2005	B	`conf`	Linear genetic programming using a compressed genotype representation. Congress on Evolutionary Computation Johan Parent, Ann Nowé, Kris Steenhaut, Anne Defaweux
2005	—	`conf`	Multi-agent Reinforcement Learning in Stochastic Single and Multi-stage Games. Adaptive Agents and Multi-Agent Systems Katja Verbeeck, Ann Nowé, Maarten Peeters, Karl Tuyls
2005	—	`conf`	Multi-type ACO for Light Path Protection. LAMAS Peter Vrancx, Ann Nowé, Kris Steenhaut
2005	C	`conf`	Multi-type ACO for light path protection. EUMAS Peter Vrancx, Ann Nowé, Kris Steenhaut
2004	J	`jnl`	Adaptive load balancing of parallel applications with multi-agent reinforcement learning on heterogeneous systems. Sci. Program. Johan Parent, Katja Verbeeck, Jan Lemeire, Ann Nowé, Kris Steenhaut, Erik F. Dirkx
2004	J	`jnl`	An Evolutionary Game Theoretic Perspective on Learning in Multi-Agent Systems. Synth. Karl Tuyls, Ann Nowé, Tom Lenaerts, Bernard Manderick
2004	—	`conf`	Multi-Agent Learning in Conflicting Multi-Level Games with Incomplete Information. AAAI Technical Report (2) Maarten Peeters, Katja Verbeeck, Ann Nowé
2004	—	`conf`	Multi-type Ant Colony: The Edge Disjoint Paths Problem. ANTS Workshop Ann Nowé, Katja Verbeeck, Peter Vrancx
2003	J	`jnl`	Efficient Protection in MPλS Networks Using Backup Trees: Part One - Concepts and Heuristics. Photonic Netw. Commun. Adelbert Groebbens, Didier Colle, Sophie De Maesschalck, Ilse Lievens, Mario Pickavet, Piet Demeester, Lan Tran, Kris Steenhaut, Ann Nowé
2003	J	`jnl`	Efficient Protection in MPλS Networks Using Backup Trees: Part Two - Simulations. Photonic Netw. Commun. Adelbert Groebbens, Didier Colle, Sophie De Maesschalck, Ilse Lievens, Mario Pickavet, Piet Demeester, Lan Tran, Kris Steenhaut, Ann Nowé
2003	—	`conf`	Efficient Usage of Capacity Resources in Survivable MP lambda S Networks. QoS-IP Lan Tran, Kris Steenhaut, Ann Nowé, Mario Pickavet, Piet Demeester
2003	—	`conf`	Extended Replicator Dynamics as a Key to Reinforcement Learning in Multi-agent Systems. ECML Karl Tuyls, Dries Heytens, Ann Nowé, Bernard Manderick
2002	J	`jnl`	Colonies of learning automata. IEEE Trans. Syst. Man Cybern. Part B Katja Verbeeck, Ann Nowé
2002	A	`conf`	Evolving Compression Preprocessors With Genetic Programming. GECCO Johan Parent, Ann Nowé
2002	—	`conf`	Homo Egualis Reinforcement Learning Agents for Load Balancing. WRAC Katja Verbeeck, Johan Parent, Ann Nowé
2002	—	`conf`	Learning to Reach the Pareto Optimal Nash Equilibrium as a Team. Australian Joint Conference on Artificial Intelligence Katja Verbeeck, Ann Nowé, Tom Lenaerts, Johan Parent
2001	—	`conf`	Social Agents Playing a Periodical Policy. ECML Ann Nowé, Johan Parent, Katja Verbeeck
1999	—	`conf`	Formalizing the Ant Algorithms in Terms of Reinforcement Learning. ECAL Ann Nowé, Katja Verbeeck
1998	B	`conf`	Q-learning for adaptive load based routing. SMC Ann Nowé, Kris Steenhaut, Mohamed Fakir, Katja Verbeeck
1998	J	`jnl`	Sugeno, Mamdani, and fuzzy Mamdani controllers put in a uniform interpolation framework. Int. J. Intell. Syst. Ann Nowé
1993	—	`conf`	A Reinforcement Learning Algorithm based on "Safety". FLAI Ann Nowé, Ranjan Vepa
1992	J	`jnl`	A self-tuning robust fuzzy controller. Microprocess. Microprogramming Ann Nowé
1989	—	`conf`	An environment for knowledge based transformational implementation. IEA/AIE (2) Viviane Jonckers, Ann Nowé