Ann Nowé

发表

An RL approach to common-interest continuous action games

Abdel Rodríguez, Peter Vrancx, Ricardo del Corazón Grau-Ábalo, 2012, AAMAS.

IPC-Net: 3D Point-Cloud Segmentation Using Deep Inter-Point Convolutional Layers

Ann Nowé, Felipe Gomez Marulanda, Pieter Libin, 2018, 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI).

The coevolution of loyalty and cooperation

Sven Van Segbroeck, Francisco C. Santos, Tom Lenaerts, 2009, 2009 IEEE Congress on Evolutionary Computation.

Using Ensemble Techniques and Multi-Objectivization to Solve Reinforcement Learning Problems

Matthew E. Taylor, Tim Brys, Ann Nowé, 2014, ECAI.

Nonparametric user activity modelling and prediction

Ann Nowé, Yannick De Bock, Andres Auquilla, 2020, User Modeling and User-Adapted Interaction.

Decentralized Learning in Markov Games

Peter Vrancx, Ann Nowé, Katja Verbeeck, 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

QoS in GMPLS based IP/DWDM Metro Networks

Ann Nowé, Kris Steenhaut, Walter Colitti, 2007, 2007 15th IEEE Workshop on Local & Metropolitan Area Networks.

A reinforcement learning approach to coordinate exploration with limited communication in continuous action games

Abdel Rodríguez, Peter Vrancx, Ricardo del Corazón Grau-Ábalo, 2016, The Knowledge Engineering Review.

Adaptive load balancing of parallel applications with multi-agent reinforcement learning on heterogeneous systems

Ann Nowé, Kris Steenhaut, Johan Parent, 2004, Sci. Program..

Optimal Convergence in Multi-Agent MDPs

Peter Vrancx, Ann Nowé, Katja Verbeeck, 2007, KES.

Efficient Protection in MPλS Networks Using Backup Trees: Part Two—Simulations

Didier Colle, Piet Demeester, Mario Pickavet, 2004, Photonic Network Communications.

Learning Automata as a Basis for Multi Agent Reinforcement Learning

Maarten Peeters, Ann Nowé, Katja Verbeeck, 2005, EUMAS.

Proceedings of the 1st international conference on Knowledge discovery and emergent complexity in bioinformatics

Yvan Saeys, Ann Nowé, Karl Tuyls, 2006 .

Supervised Neural Network Structure Recovery

Ann Nowé, Ildefons Magrans de Abril, A. Nowé, 2015, Neural Connectomics.

Naïve Reinforcement Learning As a Guide for Path Discovery

Bernard Manderick, Ann Nowé, William Okello Odongo, 2011 .

Hypervolume-Based Multi-Objective Reinforcement Learning

Ann Nowé, Madalina M. Drugan, Kristof Van Moffaert, 2013, EMO.

Towards a Phylogenetic Measure to Quantify HIV Incidence

Tom Lenaerts, Ann Nowé, Pieter Libin, 2019, BNAIC/BENELEARN.

Continuous Action Reinforcement Learning Automata - Performance and Convergence

Abdel Rodríguez, Ricardo del Corazón Grau-Ábalo, Ann Nowé, 2011, ICAART.

Directed Policy Gradient for Safe Reinforcement Learning with Human Advice pdf

Tim Brys, Ann Nowé, Diederik M. Roijers, 2018, ArXiv.

Multi-Scale Reward Shaping via an Off-Policy Ensemble

Tim Brys, Peter Vrancx, Ann Nowé, 2015, AAMAS.

Q-learning for adaptive load based routing

Ann Nowé, Kris Steenhaut, Mohamed Fakir, 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

Case study: An analysis of accidental complexity in a state-of-the-art hyper-heuristic for HyFlex

Ann Nowé, Steven Adriaensen, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

An Efficient Distributed Self-Organizing Routing Algorithm for Wireless Sensor Networks

Ann Nowé, Kris Steenhaut, Hugues Smeets, 2008, 2008 International Conference on Complex, Intelligent and Software Intensive Systems.

EUMAS 2005 - Proceedings of the Third European Workshop on Multi-Agent Systems, Brussels, Belgium, December 7-8, 2005

Marie-Pierre Gleizes, Sascha Ossowski, Ann Nowé, 2005, EUMAS.

Decentralised reinforcement learning for energy-efficient scheduling in wireless sensor networks

Ann Nowé, Karl Tuyls, Mihail Mihaylov, 2012, Int. J. Commun. Networks Distributed Syst..

Collective Decision-Making as a Contextual Multi-armed Bandit Problem

Ann Nowé, Vito Trianni, Axel Abels, 2020, ICCCI.

Designing multi-objective multi-armed bandits algorithms: A study

Ann Nowé, Madalina M. Drugan, A. Nowé, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Efficient Usage of Capacity Resources in Survivable MP lambda S Networks

Piet Demeester, Mario Pickavet, Ann Nowé, 2003, QoS-IP.

Toll-based reinforcement learning for efficient equilibria in route choice

Ana L. C. Bazzan, Ann Nowé, Bruno C. da Silva, 2020, The Knowledge Engineering Review.

Learning to coordinate in complex networks

Sven Van Segbroeck, Francisco C. Santos, Tom Lenaerts, 2010, Adapt. Behav..

Optimization of common pool resource sharing in multidomain IP-over-WDM networks

Didier Colle, Piet Demeester, Mario Pickavet, 2012, Comput. Commun..

A Policy Gradient with Parameter-Based Exploration Approach for Zone-Heating

Ann Nowé, Bruno Depraetere, Kristof Van Moffaert, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

Fast communication as a stimulus for grid computing

Ann Nowé, Bernard Manderick, William Okello Odongo, 2011 .

Multi-agent Reinforcement Learning in Stochastic Single and Multi-stage Games

Maarten Peeters, Ann Nowé, Karl Tuyls, 2005, Adaptive Agents and Multi-Agent Systems.

Expressing Arbitrary Reward Functions as Potential-Based Advice

Sam Devlin, Peter Vrancx, Ann Nowé, 2015, AAAI.

Networks of Learning Automata and Limiting Games

Peter Vrancx, Ann Nowé, Katja Verbeeck, 2007, Adaptive Agents and Multi-Agents Systems.

A Gentle Introduction to Reinforcement Learning

Tim Brys, Ann Nowé, T. Brys, 2016, SUM.

Reinforcement Learning for Self-organizing Wake-Up Scheduling in Wireless Sensor Networks

Ann Nowé, Karl Tuyls, Mihail Mihaylov, 2011, ICAART.

A Multi-objective Reinforcement Learning Algorithm for JSSP

Ann Nowé, Pieter Libin, Beatriz M. Méndez-Hernández, 2019, ICANN.

Clustering methodology for smart metering data based on local and global features

Ann Nowé, Gladys Casas Cardoso, Leticia Arco, 2017, IML.

Multi-layer Traffic Engineering (MTE) in Grooming Enabled ASON/GMPLS Networks

Ann Nowé, Kris Steenhaut, Walter Colitti, 2009, COST Action 291 Final Report.

Combining Occupancy User Profiles in a Multi-user Environment: An Academic Office Case Study

Ann Nowé, Yannick De Bock, Joost R. Duflou, 2016, 2016 12th International Conference on Intelligent Environments (IE).

Routing and traffic grooming in multi-domain optical networks

Ann Nowé, Kris Steenhaut, Marnix Goossens, 2011, 2011 3rd International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT).

Multi-type ACO for Light Path Protection

Peter Vrancx, Ann Nowé, Kris Steenhaut, 2005, LAMAS.

Designing reusable metaheuristic methods: A semi-automated approach

Tim Brys, Ann Nowé, Steven Adriaensen, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Socio-cognitively inspired ant colony optimization

Tom Lenaerts, Marek Kisiel-Dorohinicki, Ann Nowé, 2017, J. Comput. Sci..

Aprendizaje reforzado aplicado a la programación de tareas bajo condiciones reales/Reinforcement learning applied to scheduling under real constraints

Ann Nowé, Yunior César Fonseca-Reyna, Yailen Martínez-Jiménez, 2018 .

Maximum flow based Routing and Wavelength Assignment in all-optical networks

Ann Nowé, Kris Steenhaut, Walter Colitti, 2009, 2009 International Conference on Ultra Modern Telecommunications & Workshops.

Multi-Agent Learning in Conflicting Multi-Level Games with Incomplete Information

Maarten Peeters, Ann Nowé, Katja Verbeeck, 2004, AAAI Technical Report.

Improving Convergence of CMA-ES Through Structure-Driven Discrete Recombination

Tim Brys, Ann Nowé, 2012, AAAI.

A New Method For Personnel Selection Based On Ranking Aggregation Using A Reinforcement Learning Approach

Rafael Bello, Ann Nowé, Yaima Filiberto, 2018, Computación y Sistemas.

Privacy Preserving Reinforcement Learning over Distributed Datasets

Ann Dooms, Ann Nowé, Timothy Verstraeten, 2019, BNAIC/BENELEARN.

Reinforcement learning for repetitive systems with discrete sensors

Ann Nowé, Gregory Pinte, Matteo Gagliolo, 2011 .

Reinforcement Learning from Demonstration through Shaping

Sonia Chernova, Matthew E. Taylor, Tim Brys, 2015, IJCAI.

Scalarized multi-objective reinforcement learning: Novel design techniques

Ann Nowé, Madalina M. Drugan, Kristof Van Moffaert, 2013, 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence

Matthew E. Taylor, Tim Brys, Daniel Kudenko, 2014, AAAI.

Improving Zero-Intelligence Plus for Call Markets

Ann Nowé, Jannick Hemelhof, Mihail Mihaylov, 2019, BNAIC/BENELEARN.

Multi-Agent Systems and Large State Spaces

Peter Vrancx, Ann Nowé, Yann-Michaël De Hauwere, 2010, Agent and Multi-agent Technology for Internet and Enterprise Systems.

Integrated routing in GMPLS-based IP/WDM networks

Didier Colle, Mario Pickavet, Ann Nowé, 2011, Photonic Network Communications.

Departure MANagement with a Reinforcement Learning Approach: Respecting CFMU Slots

Tim Brys, Ann Nowé, Yann-Michaël De Hauwere, 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.

Efficient Evaluation of Influenza Mitigation Strategies Using Preventive Bandits

Peter Vrancx, Ann Nowé, Pieter Libin, 2017, AAMAS Workshops.

Tuning hydrostatic two-output drive-train controllers using reinforcement learning

Peter Vrancx, Ann Nowé, Kevin Van Vaerenbergh, 2014 .

Risk-sensitivity through multi-objective reinforcement learning

Tim Brys, Ann Nowé, Kristof Van Moffaert, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Using Generalized Learning Automata for State Space Aggregation in MAS

Peter Vrancx, Ann Nowé, Yann-Michaël De Hauwere, 2008, KES.

Power Aware Fulfilment of Latency Requirements by Exploiting Heterogeneity in Wireless Sensor and Actuator Networks

Ann Nowé, Kris Steenhaut, Bart Lemmens, 2009, 2009 12th Euromicro Conference on Digital System Design, Architectures, Methods and Tools.

Turbo codes for multi-hop wireless sensor networks with decode-and-forward mechanism

Alagan Anpalagan, Ann Nowé, Kris Steenhaut, 2014, EURASIP Journal on Wireless Communications and Networking.

Adaptive objective selection for correlated objectives in multi-objective reinforcement learning

Matthew E. Taylor, Tim Brys, Ann Nowé, 2014, AAMAS.

Batch effect removal methods for microarray gene expression data integration: a survey

Hugues Bersini, Colin Molter, Ann Nowé, 2013, Briefings Bioinform..

Improving wet clutch engagement with reinforcement learning

Peter Vrancx, Ann Nowé, Gregory Pinte, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Multi-type ant colony system for solving the multiple traveling salesman problem.

Ann Nowé, Yasel José Costa Salas, René Abreu Ledón, 2012 .

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

Daniel Kudenko, Ann Nowé, Karl Tuyls, 2008, Adaptive Agents and Multi-Agent Systems.

A novel heuristic for shared backup tree protection in MPLambdaS networks

Mario Pickavet, Ann Nowé, Kris Steenhaut, 2003 .

Introduction to Game Theory

Ann Nowé, Karl Tuyls, K. Tuyls, 2009, Wiley Encyclopedia of Computer Science and Engineering.

Multi-objective multi-agent decision making: a utility-based analysis and survey

Ann Nowé, Diederik M. Roijers, Patrick Mannion, 2019, Autonomous Agents and Multi-Agent Systems.

A utility-based analysis of equilibria in multi-objective normal-form games

Ann Nowé, Diederik M. Roijers, Yijie Zhang, 2020, The Knowledge Engineering Review.

Interpretable self-labeling semi-supervised classifier

Ann Nowé, Isel Grau, Maria M. Garcia Lorenzo, 2018 .

Bee Behaviour in Multi-agent Systems

Ann Nowé, Karl Tuyls, Nyree Lemmens, 2007, Adaptive Agents and Multi-Agents Systems.

Possibilistic Boolean Games: Strategic Reasoning under Incomplete Information

Martine De Cock, Steven Schockaert, Ann Nowé, 2014, JELIA.

Analyzing the dynamics of stigmergetic interactions through pheromone games

Peter Vrancx, Ann Nowé, Katja Verbeeck, 2010, Theor. Comput. Sci..

Reinforcement Learning for Multi-purpose Schedules

Peter Vrancx, Ann Nowé, Kristof Van Moffaert, 2013, ICAART.

A novel adaptive weight selection algorithm for multi-objective multi-agent reinforcement learning

Peter R. Lewis, Tim Brys, Ann Nowé, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

An adaptive rule-based classifier for mining big biological data

Bernard Manderick, Ann Nowé, Dewan Md. Farid, 2016, Expert Syst. Appl..

Two-Step Particle Swarm Optimization to Solve the Feature Selection Problem

Rafael Bello, Ann Nowé, María Matilde García Lorenzo, 2007, Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007).

A decentralized approach for convention emergence in multi-agent systems

Ann Nowé, Karl Tuyls, Mihail Mihaylov, 2013, Autonomous Agents and Multi-Agent Systems.

Intelligent Electric Water Heater Control with Varying State Information

Geert Deconinck, Ann Nowé, Thijs Peirelinck, 2018, 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm).

Fair-share ILS: a simple state-of-the-art iterated local search hyperheuristic

Tim Brys, Ann Nowé, Steven Adriaensen, 2014, GECCO.

Schedule-based multi-channel communication in wireless sensor networks: A complete design and performance evaluation

Ann Nowé, Kris Steenhaut, Lan Tran, 2015, Ad Hoc Networks.

Measuring Diversity of Socio-Cognitively Inspired ACO Search

Tom Lenaerts, Marek Kisiel-Dorohinicki, Ann Nowé, 2016, EvoApplications.

Model-based and model-free learning strategies for wet clutch control

Abhishek Dutta, Jan Swevers, Ann Nowé, 2014 .

Reinforcement Learning in POMDPs with Memoryless Options and Option-Observation Initiation Sets pdf

Peter Vrancx, Ann Nowé, Diederik M. Roijers, 2017, AAAI.

Modeling Stable Matching Problems with Answer Set Programming

Martine De Cock, Steven Schockaert, Ann Nowé, 2013, RuleML.

Local search and restart strategies for satisfiability solving in fuzzy logics

Martine De Cock, Peter A. N. Bosman, Tim Brys, 2013, 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS).

Logical topology design for IP rerouting: ASONs versus static OTNs

Didier Colle, Piet Demeester, Mario Pickavet, 2010, Photonic Network Communications.

Predicting Seat-Off and Detecting Start-of-Assistance Events for Assisting Sit-to-Stand With an Exoskeleton

Joris De Schutter, Peter Vrancx, Ann Nowé, 2016, IEEE Robotics and Automation Letters.

Knowledge Discovery and Emergent Complexity in Bioinformatics

Yvan Saeys, Ann Nowé, Karl Tuyls, 2006, KDECB.

Thompson Sampling for m-top Exploration

Ann Nowé, Pieter Libin, Timothy Verstraeten, 2019, BNAIC/BENELEARN.

Social Agents Playing a Periodical Policy

Ann Nowé, Johan Parent, Katja Verbeeck, 2001, ECML.

Demonstrating principal component aggregation for distributed spatial pattern recognition

Ann Nowé, Kris Steenhaut, Gianluca Bontempi, 2010, IPSN '10.

The Actor-Advisor: Policy Gradient With Off-Policy Advice pdf

Ann Nowé, Diederik M. Roijers, Hélène Plisnier, 2019, ArXiv.

Multi-objective reinforcement learning using sets of pareto dominating policies

Ann Nowé, Kristof Van Moffaert, A. Nowé, 2014, J. Mach. Learn. Res..

Reinforcement Learning: State-of-the-Art

Peter Vrancx, Ann Nowé, Y-M. De Hauwere, 2012 .

Using Answer Set Programming for Solving Boolean Games

Martine De Cock, Steven Schockaert, Ann Nowé, 2014, KR.

Coordinated Exploration in Conflicting Multi-stage Games

Sven Van Segbroeck, Maarten Peeters, Ann Nowé, 2008, KES.

Toll-Based Learning for Minimising Congestion under Heterogeneous Preferences

Anderson R. Tavares, Ann Nowé, Gabriel de O. Ramos, 2020, AAMAS.

Niching and evolutionary transitions in multi-agent systems

Tom Lenaerts, Bernard Manderick, Ann Nowé, 2001 .

AI-Toolbox: A C++ library for Reinforcement Learning and Planning (with Python Bindings)

Ann Nowé, Diederik M. Roijers, Eugenio Bargiacchi, 2020, J. Mach. Learn. Res..

Proceedings of the 5th , 6th and 7th European conference on Adaptive and learning agents and multi-agent systems: adaptation and multi-agent learning

Daniel Kudenko, Ann Nowé, Karl Tuyls, 2005 .

Stochastic Simulation of the Chemoton

Sven Van Segbroeck, Tom Lenaerts, Ann Nowé, 2009, Artificial Life.

Hierarchical routing and traffic grooming in IP/MPLS-based ASON/GMPLS multi-domain networks

Ann Nowé, Kris Steenhaut, Marnix Goossens, 2012, Photonic Network Communications.

Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making pdf

Catholijn M. Jonker, Ann Nowé, Diederik M. Roijers, 2018, AAMAS.

Evolving Compression Preprocessors With Genetic Programming

Ann Nowé, Johan Parent, 2002, GECCO.

ED-FNN: A New Deep Learning Algorithm to Detect Percentage of the Gait Cycle for Powered Prostheses

Bram Vanderborght, Dirk Lefeber, Ann Nowé, 2018, Sensors.

Comparing distance measures with visual methods

Ann Nowé, Isis Bonet, María M. García, 2008 .

Networks as a tool to save energy while keeping up general user comfort in buildings

Ann Nowé, Kristof Van Moffaert, Yann-Michaël De Hauwere, 2013, 2013 19th IEEE Workshop on Local & Metropolitan Area Networks (LANMAN).

A Mutual Algorithm for Optimizing Distributed Source Coding in Wireless Sensor Networks

Ann Nowé, Kris Steenhaut, Bart Lemmens, 2012, Int. J. Distributed Sens. Networks.

Extended Replicator Dynamics as a Key to Reinforcement Learning in Multi-agent Systems

Bernard Manderick, Ann Nowé, Karl Tuyls, 2003, ECML.

Advanced Vibration Signal Processing Using Edge Computing to Monitor Wind Turbine Drivetrains

Ann Nowé, Timothy Verstraeten, Jan Helsen, 2019 .

Local Coordination in Online Distributed Constraint Optimization Problems

Tim Brys, Peter Vrancx, Ann Nowé, 2011, EUMAS.

Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics pdf

Ann Nowé, Diederik M. Roijers, Hélène Plisnier, 2019, BNAIC/BENELEARN.

Multilayer Traffic Engineering Based on Transmission Quality and Grooming in the Next Generation Optical Internet

Ann Nowé, Kris Steenhaut, Walter Colitti, 2007 .

Analysing Congestion Problems in Multi-agent Reinforcement Learning

Peter Vrancx, Ann Nowé, Roxana Radulescu, 2017, AAMAS.

Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems

Ann Nowé, Timothy Verstraeten, Diederik M. Roijers, 2018, ICML.

Opponent Modelling for Reinforcement Learning in Multi-Objective Normal Form Games

Ann Nowé, Diederik M. Roijers, Yijie Zhang, 2020, AAMAS.

Coordinating Human and Agent Behavior in Collective-Risk Scenarios

Tom Lenaerts, Juan C. Burguillo, Ann Nowé, 2017, AAAI.

Two Step Ant Colony System to Solve the Feature Selection Problem

Rafael Bello, Ann Nowé, María Matilde García Lorenzo, 2006, CIARP.

Multi-objectivization of reinforcement learning problems by reward shaping

Matthew E. Taylor, Tim Brys, Daniel Kudenko, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

A Reinforcement Learning Approach for the Report Scheduling Process Under Multiple Constraints

Ann Nowé, Beatriz M. Méndez-Hernández, Erick D. Rodríguez Bazan, 2018, IWAIPR.

Service differentiation in IP/MPLS over ASON/GMPLS networks

Didier Colle, Mario Pickavet, Ann Nowé, 2010, Photonic Network Communications.

Distributed cooperation in wireless sensor networks

Ann Nowé, Karl Tuyls, Mihail Mihaylov, 2011, AAMAS.

A model based on ant colony system and rough set theory to feature selection

Rafael Bello, Peter Vrancx, Ann Nowé, 2005, GECCO '05.

Multi-Agent Reinforcement Learning Tool for Job Shop Scheduling Problems

Ann Nowé, Jessica Coto Palacio, Yailen Mart́ınez Jiménez, 2019, BNAIC/BENELEARN.

On the upper bound for the time to rendezvous in multi-hop cognitive radio networks

Ann Nowé, Kris Steenhaut, Carlos M. Garcia Algora, 2016, 2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD).

Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages

Hugues Bersini, Colin Molter, Ann Nowé, 2012, BMC Bioinformatics.

An Evolutionary Game Theoretic Perspective on Learning in Multi-Agent Systems

Tom Lenaerts, Bernard Manderick, Ann Nowé, 2004, Synthese.

Adaptive multilayer routing in the next generation GMPLS Internet

Ann Nowé, Kris Steenhaut, Walter Colitti, 2008, 2008 3rd International Conference on Communication Systems Software and Middleware and Workshops (COMSWARE '08).

Learning to Reach the Pareto Optimal Nash Equilibrium as a Team

Tom Lenaerts, Ann Nowé, Johan Parent, 2002, Australian Joint Conference on Artificial Intelligence.

Cross layer routing in optical IP/WDM multi-domain networks

Ann Nowé, Kris Steenhaut, Marnix Goossens, 2012, 2012 IV International Congress on Ultra Modern Telecommunications and Control Systems.

Multi-objective χ-Armed bandits

Peter Vrancx, Ann Nowé, Kristof Van Moffaert, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Compressed Linear Genetic Programming: empirical parameter study on the Even-n-parity problem

Ann Nowé, Kris Steenhaut, Johan Parent, 2005, BNAIC.

Integration of load shifting and storage to reduce gray energy demand

Ann Nowé, Mihail Mihaylov, Iván S. Razo-Zapata, 2016, 2016 5th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS).

Homo Egualis Reinforcement Learning Agents for Load Balancing

Ann Nowé, Johan Parent, Katja Verbeeck, 2002, WRAC.

Enhancing Particle Swarm Optimization with Socio-cognitive Inspirations

Marek Kisiel-Dorohinicki, Ann Nowé, Aleksander Byrski, 2016, ICCS.

Transfer Reinforcement Learning across Environment Dynamics with Multiple Advisors

Ann Nowé, Diederik M. Roijers, Hélène Plisnier, 2019, BNAIC/BENELEARN.

A New Geometrical BSS Approach for Non Negative Sources

Ann Nowé, Danielle Nuzillard, Cosmin Lazar, 2010, LVA/ICA.

Transfer Learning for Multi-agent Coordination

Peter Vrancx, Ann Nowé, Yann-Michaël De Hauwere, 2011, ICAART.

Pedagogical process management: A case study by applying the reinforcement learning

Ann Nowé, Abdellah Bennane, M Bernard, 2009 .

Analyzing Stigmergetic Algorithms Through Automata Games

Peter Vrancx, Ann Nowé, Katja Verbeeck, 2006, KDECB.

Solving delayed coordination problems in MAS

Peter Vrancx, Ann Nowé, Yann-Michaël De Hauwere, 2011, AAMAS.

A Solution for the Team Selection Problem Using ACO

Rafael Bello, Ann Nowé, Marilyn Bello, 2018, ANTS Conference.

Poster: Comparative study of EM-MAC and TSCH/orchestra for IoT

Ann Nowé, Kris Steenhaut, Carlos M. Garcia Algora, 2016, 2016 Symposium on Communications and Vehicular Technologies (SCVT).

PhyloGeoTool: interactively exploring large phylogenies in an epidemiological context

Guy Baele, Ann Nowé, Pieter Libin, 2017, Bioinform..

Deep hybrid approach for 3D plane segmentation

Ann Nowé, Felipe Gomez Marulanda, Pieter Libin, 2019, ESANN.

Interactive Thompson Sampling for Multi-objective Multi-armed Bandits

Ann Nowé, Diederik M. Roijers, Luisa M. Zintgraf, 2017, ADT.

Colonies of learning automata

Ann Nowé, Katja Verbeeck, A. Nowé, 2002, IEEE Trans. Syst. Man Cybern. Part B.

Molecular dynamics and docking simulations as a proof of high flexibility in E. coli FabH and its relevance for accurate inhibitor modeling

Ann Nowé, Matheus Froeyen, Miguel Ángel Cabrera-Pérez, 2011, J. Comput. Aided Mol. Des..

Formalizing the Ant Algorithms in Terms of Reinforcement Learning

Ann Nowé, Katja Verbeeck, 1999, ECAL.

Coordinated exploration in multi-agent reinforcement learning: an application to load-balancing

Ann Nowé, Karl Tuyls, Katja Verbeeck, 2005, AAMAS '05.

A Virtual Maze Game to Explain Reinforcement Learning

Ann Nowé, Eugenio Bargiacchi, Youri Coppens, 2019, BNAIC/BENELEARN.

Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies pdf

Ann Nowé, Pieter Libin, Timothy Verstraeten, 2017, ECML/PKDD.

Issues In Grid Computing In The Context Of Education

Bernard Manderick, Ann Nowé, William Okello-Odongo, 2008 .

Game Theory and Multi-agent Reinforcement Learning

Peter Vrancx, Ann Nowé, Yann-Michaël De Hauwere, 2012, Reinforcement Learning.

Generalized learning automata for multi-agent reinforcement learning

Peter Vrancx, Ann Nowé, Yann-Michaël De Hauwere, 2010, AI Commun..

Learning with Options that Terminate Off-Policy pdf

Doina Precup, Peter Vrancx, Ann Nowé, 2017, AAAI.

Decentralized Computation of Pareto Optimal Pure Nash Equilibria of Boolean Games with Privacy Concerns

Martine De Cock, Steven Schockaert, Ann Nowé, 2014, ICAART.

Two-Stage Ant Colony Optimization for Solving the Traveling Salesman Problem

Rafael Bello, Ann Nowé, Amilkar Puris, 2007, IWINAC.

BNAIC 2005 - Proceedings of the Seventeenth Belgium-Netherlands Conference on Artificial Intelligence, Brussels, Belgium, October 17-18, 2005

Bernard Manderick, Bart Kuijpers, Ann Nowé, 2005, BNAIC.

Modelling incomplete information in Boolean games using possibilistic logic

Martine De Cock, Steven Schockaert, Ann Nowé, 2018, Int. J. Approx. Reason..

Self-organizing Synchronicity and Desynchronicity using Reinforcement Learning

Ann Nowé, Karl Tuyls, Mihail Mihaylov, 2011, ICAART.

A self-tuning robust fuzzy controller

Ann Nowé, A. Nowé, 1992, Microprocess. Microprogramming.

Learning multi-agent state space representations

Peter Vrancx, Ann Nowé, Yann-Michaël De Hauwere, 2010, AAMAS.

Discovering knowledge from data clustering using automatically-defined interval type-2 fuzzy predicates

Gustavo J. Meschino, Virginia L. Ballarin, Ann Nowé, 2017, Expert Syst. Appl..

Computing research challenges and opportunities with grid computers

Bernard Manderick, Ann Nowé, William Okello-Odongo, 2008 .

An environment for knowledge based transformational implementation

Ann Nowé, Viviane Jonckers, 1989, IEA/AIE '89.

Solving Delayed Coordination Problems in MAS (Extended Abstract)

Peter Vrancx, Ann Nowé, Yann-Michaël De, 2011 .

A New Measure Based in the Rough Set Theory to Estimate the Training Set Quality

Rafael Bello, Ann Nowé, Gladys Casas Cardoso, 2006, 2006 Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.

Routing and signaling in GMPLS based DWDM multi domain multilayer networks using IP/WDM router

Ann Nowé, Kris Steenhaut, Pasquale Gurzi, 2011, 2011 Eighth International Conference on Wireless and Optical Communications Networks.

Policy Transfer using Reward Shaping

Matthew E. Taylor, Tim Brys, Ann Nowé, 2015, AAMAS.

Analysing the Impact of Storage and Load Shifting on Grey Energy Demand Reduction

Ann Nowé, Mihail Mihaylov, Iván S. Razo-Zapata, 2016, SMARTGREENS/VEHITS.

Distributed regression for high-level feature extraction in wireless sensor networks

Ann Nowé, Kris Steenhaut, Yann-Aël Le Borgne, 2010, 2010 Seventh International Conference on Networked Sensing Systems (INSS).

Multilateral Negotiation in Boolean Games with Incomplete Information Using Generalized Possibilistic Logic

Martine De Cock, Steven Schockaert, Ann Nowé, 2015, IJCAI.

Shaping Mario with Human Advice (Demonstration)

Tim Brys, Peter Vrancx, Ann Nowé, 2015 .

Combining Edge and Cloud Computing for Monitoring a Fleet of Wind Turbine Drivetrains Using Combined Machine Learning Signal Processing Approaches

Ann Nowé, Timothy Verstraeten, Jan Helsen, 2019 .

Per-Decision Option Discounting

Doina Precup, Peter Vrancx, Ann Nowé, 2019, ICML.

DuStt - A Speech-to-Text Engine for Dutch

Ann Nowé, Roxana Radulescu, Kyriakos Efthymiadis, 2019, BNAIC/BENELEARN.

Local linear spectral unmixing via cluster analysis and non-negative matrix factorization for hyperspectral (CHRIS/PROBA) imagery

Hichem Sahli, Jonathan Cheung-Wai Chan, Ann Nowé, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Fleetwide data-enabled reliability improvement of wind turbines pdf

Yi Guo, Jonathan Keller, Ann Nowé, 2019, Renewable and Sustainable Energy Reviews.

NRG-X-Change - A Novel Mechanism for Trading of Renewable Energy in Smart Grids

Ann Nowé, Mihail Mihaylov, Kristof Van Moffaert, 2014, SMARTGREENS.

Sequential Application of Feature Selection and Extraction for Predicting Breast Cancer Aggressiveness

Hugues Bersini, Ann Nowé, Nic Walker, 2010, CSBio.

Meta-Evolutionary Algorithms and recombination operators for satisfiability solving in fuzzy logics

Tim Brys, Ann Nowé, Madalina M. Drugan, 2013, 2013 IEEE Congress on Evolutionary Computation.

Comparing Distance Measures with Visual Methods

Yvan Saeys, Abdel Rodríguez, Ricardo del Corazón Grau-Ábalo, 2008, MICAI.

Two Step Swarm Intelligence to Solve the Feature Selection Problem

Rafael Bello, Ann Nowé, María Matilde García Lorenzo, 2008, J. Univers. Comput. Sci..

Two-level clustering methodology for smart metering data

Ann Nowé, Gladys Casas Cardoso, Leticia Arco García, 2020 .

Multi-objective Reinforcement Learning for the Expected Utility of the Return

Ann Nowé, Diederik M. Roijers, Denis Steckelmacher, 2020 .

A benchmark set extension and comparative study for the HyFlex framework

Gabriela Ochoa, Ann Nowé, Steven Adriaensen, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Enabling high availability over multiple optical networks

Didier Colle, Piet Demeester, Mario Pickavet, 2008, IEEE Communications Magazine.

Personnel Selection in a Competitive Environment

Rafael Bello, Ann Nowé, María Matilde García Lorenzo, 2016, Computación y Sistemas.

Two-Stage ACO to Solve the Job Shop Scheduling Problem

Rafael Bello, Ann Nowé, Amilkar Puris, 2007, CIARP.

Efficient Protection in MPλS Networks Using Backup Trees: Part One—Concepts and Heuristics

Didier Colle, Piet Demeester, Mario Pickavet, 2004, Photonic Network Communications.

Speeding-Up ACO Implementation by Decreasing the Number of Heuristic Function Evaluations in Feature Selection Problem

Rafael Bello, Ann Nowé, Yudel Gómez, 2008, IWPACBB.

Formalizing Commitment-Based Deals in Boolean Games

Martine De Cock, Steven Schockaert, Ann Nowé, 2016, ECAI.

Off-Policy Reward Shaping with Ensembles pdf

Tim Brys, Peter Vrancx, Ann Nowé, 2015, ArXiv.

Towards a White Box Approach to Automated Algorithm Design

Ann Nowé, Steven Adriaensen, A. Nowé, 2016, IJCAI.

Reinforcement Learning on Multiple Correlated Signals

Tim Brys, Ann Nowé, 2014, AAAI.

Multi-objectivization and ensembles of shapings in reinforcement learning

Matthew E. Taylor, Tim Brys, Peter Vrancx, 2017, Neurocomputing.

A Reinforcement Learning Approach for Interdomain Routing with Link Prices

Peter Vrancx, Ann Nowé, Kris Steenhaut, 2015, TAAS.

Edge computing for advanced vibration signal processing

Ann Nowé, Felipe Gomez Marulanda, Timothy Verstraeten, 2019 .

Lifetime optimization for wireless sensor networks with correlated data gathering

Ann Nowé, Kris Steenhaut, Yann-Aël Le Borgne, 2010, 8th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks.

Learning Conflicts from Experience

Ann Nowé, Yann-Michaël De Hauwere, 2012, MAPF@AAAI.

Multilayer traffic engineering and DiffServ in the next generation internet

Ann Nowé, Kris Steenhaut, Walter Colitti, 2008, 2008 3rd International Conference on Communication Systems Software and Middleware and Workshops (COMSWARE '08).

inSilicoDb: an R/Bioconductor package for accessing human Affymetrix expert-curated datasets from GEO.

Hugues Bersini, Colin Molter, Ann Nowé, 2011, Bioinformatics.

On the Behaviour of Scalarization Methods for the Engagement of a Wet Clutch

Tim Brys, Ann Nowé, Kristof Van Moffaert, 2013, 2013 12th International Conference on Machine Learning and Applications.

Using Pheromone Repulsion to Find Disjoint Paths

Peter Vrancx, Ann Nowé, 2006, ANTS Workshop.

Taking turns in general sum Markov games

Peter Vrancx, Ann Nowé, Katja Verbeeck, 2010, AAMAS.

Insights on Social Recommender Systems

Ann Nowé, Wolney Leal De Mello Neto, A. Nowé, 2012, RUE@RecSys.

Accelerating Interactive Reinforcement Learning by Human Advice for an Assembly Task by a Cobot

Ann Nowé, Bram Vanderborght, Greet Van de Perre, 2019, Robotics.

Solving Sparse Delayed Coordination Problems in Multi-Agent Reinforcement Learning

Peter Vrancx, Ann Nowé, Yann-Michaël De Hauwere, 2011, ALA.

Lifetime optimization for sensor networks with correlated data gathering

Ann Nowé, Kris Steenhaut, Yann-Aël Le Borgne, 2010, 2010 Seventh International Conference on Networked Sensing Systems (INSS).

Parallel Concatenation vs. Serial Concatenation Turbo Codes for Wireless Sensor Networks

Ann Nowé, Kris Steenhaut, Bart Lemmens, 2011, 2011 18th IEEE Symposium on Communications and Vehicular Technology in the Benelux (SCVT).

Linear genetic programming using a compressed genotype representation

Ann Nowé, Kris Steenhaut, Johan Parent, 2005, 2005 IEEE Congress on Evolutionary Computation.

Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees

Kurt Driessens, Tim Brys, Ann Nowé, 2018, AAAI.

Multi-type Ant Colony: The Edge Disjoint Paths Problem

Peter Vrancx, Ann Nowé, Katja Verbeeck, 2004, ANTS Workshop.

Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey

Ann Nowé, Diederik M. Roijers, Roxana Radulescu, 2020, AAMAS.

Solving Multi-stage Games with Hierarchical Learning Automata That Bootstrap

Maarten Peeters, Ann Nowé, Katja Verbeeck, 2007, Adaptive Agents and Multi-Agents Systems.

A Learning Automata Approach to Multi-agent Policy Gradient Learning

Maarten Peeters, Ann Nowé, Katja Verbeeck, 2008, KES.

A Motorized Wheelchair that Learns to Make its Way through a Crowd

Ann Nowé, Hélène Plisnier, Denis Steckelmacher, 2019, BNAIC/BENELEARN.

Transfer Learning Across Simulated Robots With Different Sensors pdf

Ann Nowé, Diederik M. Roijers, Hélène Plisnier, 2019, ArXiv.

Exploring selfish reinforcement learning in repeated games with stochastic rewards

Ann Nowé, Johan Parent, Karl Tuyls, 2007, Autonomous Agents and Multi-Agent Systems.

Multiagent Systems for Bandwidth Optimization in Wireless Grids.

Ann Nowé, Bernard Manderick, Eric Ayienga, 2006 .

GA(M)E-QSAR: A Novel, Fully Automatic Genetic-Algorithm-(Meta)-Ensembles Approach for Binary Classification in Ligand-Based Drug Design

Ann Nowé, Yunierkis Pérez-Castillo, Matheus Froeyen, 2012, J. Chem. Inf. Model..

A Reinforcement Learning Approach for the Flexible Job Shop Scheduling Problem

Rafael Bello, Ann Nowé, Yailen Martínez, 2011, LION.

Action Learning and Grounding in Simulated Human-Robot Interactions

Ann Nowé, Oliver Roesler, 2019, BNAIC/BENELEARN.

Shaping Mario with Human Advice

Tim Brys, Peter Vrancx, Ann Nowé, 2015, AAMAS.

Adaptive State Representations for Multi-agent Reinforcement Learning

Peter Vrancx, Ann Nowé, Yann-Michaël De Hauwere, 2011, ICAART.

An ECMS-based control of a parallel hybrid electric forklift

Joost Duflou, Ann Nowé, Bruno Depraetere, 2017 .

GENESHIFT: A Nonparametric Approach for Integrating Microarray Gene Expression Data Based on the Inner Product as a Distance Measure between the Distributions of Genes

Hugues Bersini, Colin Molter, Ann Nowé, 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Validation of Merging Techniques for Cancer Microarray Data Sets

Hugues Bersini, Ann Nowé, Stijn Meganck, 2009, Aust. J. Intell. Inf. Process. Syst..

Smart Grid Demonstration Platform for Renewable Energy Exchange

Ann Nowé, Mihail Mihaylov, Iván S. Razo-Zapata, 2016, PAAMS.

Software Tools and Methods for Research and Education in Optical Networks

Pablo Pavón-Mariño, Ann Nowé, Kris Steenhaut, 2009, COST Action 291 Final Report.

Failure Avoidance for Wind Turbines through Fleetwide Control

Ann Nowé, Timothy Verstraeten, Jan Helsen, 2019, BNAIC/BENELEARN.

An Importance Sampling Approach to the Estimation of Algorithm Performance in Automated Algorithm Design

Ann Nowé, Steven Adriaensen, Filip Moons, 2017, LION.

Model-free learning of wire winding control

Peter Vrancx, Ann Nowé, Erik Hostens, 2013, 2013 9th Asian Control Conference (ASCC).

Multi-colony ACO and Rough Set Theory to Distributed Feature Selection Problem

Rafael Bello, Ann Nowé, Enrique Casanovas, 2009, IWANN.

Pareto Upper Confidence Bounds algorithms: An empirical study

Bernard Manderick, Ann Nowé, Madalina M. Drugan, 2014, 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

Evolutionary game theory and multi-agent reinforcement learning

Ann Nowé, Karl Tuyls, K. Tuyls, 2005, The Knowledge Engineering Review.

Off-Policy Shaping Ensembles in Reinforcement Learning pdf

Tim Brys, Peter Vrancx, Ann Nowé, 2014, ECAI.

Multilayer Quality and Grade of Service Support for High Speed GMPLS IP/DWDM Networks

Ann Nowé, Kris Steenhaut, Jan Lemeire, 2007, NBiS.

Learning a pricing strategy in multi-domain DWDM networks

Peter Vrancx, Ann Nowé, Kris Steenhaut, 2011, 2011 18th IEEE Workshop on Local & Metropolitan Area Networks (LANMAN).

SCANERGY: a Scalable and Modular System for Energy Trading Between Prosumers

Ann Nowé, Maite Bezunartea, Isel Grau, 2015, AAMAS.

Network-wide synchronization in Wireless Sensor Networks

Ingrid Moerman, Peter Ruckebusch, Ann Nowé, 2012, 2012 19th IEEE Symposium on Communications and Vehicular Technology in the Benelux (SCVT).

Scalarization based Pareto optimal set of arms identification algorithms

Ann Nowé, Madalina M. Drugan, A. Nowé, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Herramienta basada en aprendizaje reforzado y sistemas multi-agente para problemas de secuenciación de tareas

Ann Nowé, Yailen Martínez Jiménez, Jessica Coto Palacio, 2020 .

A Reinforcement Learning Algorithm based on "Safety"

Ranjan Vepa, Ann Nowé, A. Nowé, 1993, FLAI.

Solving stable matching problems using answer set programming

Martine De Cock, Steven Schockaert, Ann Nowé, 2015, Theory and Practice of Logic Programming.

High-density wireless sensor networks: a new clustering approach for prediction-based monitoring

Ann Nowé, Kris Steenhaut, Pieter Beyens, 2005, Proceeedings of the Second European Workshop on Wireless Sensor Networks, 2005..

Synaptic Learning of Long-Term Cognitive Networks with Inputs

Koen Vanhoof, Gonzalo Nápoles, Rafael Bello, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Grid computing as a dynamic domain for multi-agent systems based scheduling

Bernard Manderick, Ann Nowé, William Okello-Odongo, 2003 .

A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis

Hugues Bersini, Colin Molter, Ann Nowé, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Dynamic Weights in Multi-Objective Deep Reinforcement Learning

Tom Lenaerts, Ann Nowé, Diederik M. Roijers, 2018, ICML.

Proceedings of the 17th Belgium-Netherlands Conference on Artificial Intelligence

Bernard Manderick, Bart Kuijpers, Wim H. Hesselink, 2005 .

Algoritmos para problemas de secuenciación de tareas en ambientes online

Ann Nowé, Yailen Martínez Jiménez, Jessica Coto Palacio, 2018 .

Solving satisfiability in fuzzy logics by mixing CMA-ES

Martine De Cock, Peter A. N. Bosman, Tim Brys, 2013, GECCO '13.

How Expert Confidence Can Improve Collective Decision-Making in Contextual Multi-Armed Bandit Problems

Ann Nowé, Vito Trianni, Axel Abels, 2020, ICCCI.

Training a Speech-to-Text Model for Dutch on the Corpus Gesproken Nederlands

Ann Nowé, Roxana Radulescu, Kyriakos Efthymiadis, 2019, BNAIC/BENELEARN.

Online distributed voltage control of an offshore MTdc network using reinforcement learning

Pavol Bauer, Tim Brys, Ann Nowé, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Decentralized Learning in Wireless Sensor Networks

Ann Nowé, Karl Tuyls, Mihail Mihaylov, 2009, ALA.

GUARDIAML: Machine Learning-Assisted Dynamic Information Flow Control

Ann Nowé, Coen De Roover, Elisa Gonzalez Boix, 2019, 2019 IEEE 26th International Conference on Software Analysis, Evolution and Reengineering (SANER).

Opponent learning awareness and modelling in multi-objective normal form games pdf

Ann Nowé, Timothy Verstraeten, Diederik M. Roijers, 2020, Neural Computing and Applications.

MultiMAuS: A Multi-Modal Authentication Simulator for Fraud Detection Research

Ann Nowé, Diederik M. Roijers, Luisa M Zintgraf, 2017 .

Exact and heuristic methods for solving Boolean games

Martine De Cock, Steven Schockaert, Ann Nowé, 2015, Autonomous Agents and Multi-Agent Systems.

Autonomous assembly planning of demonstrated skills with reinforcement learning in simulation

Bram Vanderborght, Ann Nowé, Tom Verstraten, 2021, Auton. Robots.

MoveRL: To a Safer Robotic Reinforcement Learning Environment

Bram Vanderborght, Ann Nowé, Denis Steckelmacher, 2021, BNAIC/BENELEARN.

The energy saving potential of retrofitting a smart heating system: A residence hall pilot study

Ann Nowé, Yannick De Bock, Andres Auquilla, 2021, Sustain. Comput. Informatics Syst..