Ann Nowé

Kristof Van Moffaert, Madalina M. Drugan, Ann Nowé: Hypervolume-Based Multi-Objective Reinforcement Learning. EMO 2013: 352-366

Sofie De Clercq, Steven Schockaert, Martine De Cock, Ann Nowé: Modeling Stable Matching Problems with Answer Set Programming. CoRR abs/1302.7251 (2013)

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: Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages. BMC Bioinformatics 13: 335 (2012)

Dimitri Staessens, Didier Colle, Mario Pickavet, Ann Nowé, Kris Steenhaut, Piet Demeester: Optimization of common pool resource sharing in multidomain IP-over-WDM networks. Computer Communications 35(5): 531-540 (2012)

Mihail Mihaylov, Yann-Aël Le Borgne, Karl Tuyls, Ann Nowé: Decentralised reinforcement learning for energy-efficient scheduling in wireless sensor networks. IJCNDS 9(3/4): 207-224 (2012)

Nashat Abughalieh, Kris Steenhaut, Bart Lemmens, Ann Nowé: A Mutual Algorithm for Optimizing Distributed Source Coding in Wireless Sensor Networks. IJDSN 2012 (2012)

Cosmin Lazar, Jonatan Taminau, Stijn Meganck, David Steenhoff, Alain Coletta, Colin Molter, Virginie de Schaetzen, Robin Duque, Hugues Bersini, Ann Nowé: A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis. IEEE/ACM Trans. Comput. Biology Bioinform. 9(4): 1106-1119 (2012)

Tim Brys, Ann Nowé: Improving Convergence of CMA-ES Through Structure-Driven Discrete Recombination. AAAI 2012

Abdel Rodríguez, Peter Vrancx, Ricardo Grau Ábalo, Ann Nowé: An RL approach to common-interest continuous action games. AAMAS 2012: 1401-1402

Wajdi Halabi, Kris Steenhaut, Marnix Goossens, Ann Nowé: Cross layer routing in optical IP/WDM multi-domain networks. ICUMT 2012: 607-612

Cosmin Lazar, Luca Demarchi, David Steenhoff, Jonathan Cheung-Wai Chan, Ann Nowé, Hichem Sahli: Local linear spectral unmixing via cluster analysis and non-negative matrix factorization for hyperspectral (CHRIS/PROBA) imagery. IGARSS 2012: 7267-7270

Kevin Van Vaerenbergh, Abdel Rodríguez, Matteo Gagliolo, Peter Vrancx, Ann Nowé, Julian Stoev, Stijn Goossens, Gregory Pinte, Wim Symens: Improving wet clutch engagement with reinforcement learning. IJCNN 2012: 1-8

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: inSilicoDb: an R/Bioconductor package for accessing human Affymetrix expert-curated datasets from GEO. Bioinformatics 27(22): 3204-3205 (2011)

Yunierkis Pérez-Castillo, Matheus Froeyen, Miguel Ángel Cabrera-Pérez, Ann Nowé: Molecular dynamics and docking simulations as a proof of high flexibility in E. coli FabH and its relevance for accurate inhibitor modeling. Journal of Computer-Aided Molecular Design 25(4): 371-393 (2011)

Yann-Michaël De Hauwere, Peter Vrancx, Ann Nowé: Solving Sparse Delayed Coordination Problems in Multi-Agent Reinforcement Learning. ALA 2011: 114-133

Mihail Mihaylov, Yann-Aël Le Borgne, Karl Tuyls, Ann Nowé: Distributed cooperation in wireless sensor networks. AAMAS 2011: 249-256

Yann-Michaël De Hauwere, Peter Vrancx, Ann Nowé: Solving delayed coordination problems in MAS. AAMAS 2011: 1115-1116

Tim Brys, Yann-Michaël De Hauwere, Ann Nowé, Peter Vrancx: Local Coordination in Online Distributed Constraint Optimization Problems. EUMAS 2011: 31-47

Mihail Mihaylov, Yann-Aël Le Borgne, Ann Nowé, Karl Tuyls: Self-organizing Synchronicity and Desynchronicity using Reinforcement Learning. ICAART (2) 2011: 94-103

Yann-Michaël De Hauwere, Peter Vrancx, Ann Nowé: Adaptive State Representations for Multi-agent Reinforcement Learning. ICAART (2) 2011: 181-189

Peter Vrancx, Yann-Michaël De Hauwere, Ann Nowé: Transfer Learning for Multi-agent Coordination. ICAART (2) 2011: 263-272

Abdel Rodríguez, Ricardo Grau Ábalo, Ann Nowé: Continuous Action Reinforcement Learning Automata - Performance and Convergence. ICAART (2) 2011: 473-478

Wajdi Halabi, Kris Steenhaut, Marnix Goossens, Ann Nowé: Routing and traffic grooming in multi-domain optical networks. ICUMT 2011: 1-7

Yailen Martínez, Ann Nowé, Juliett Suárez, Rafael Bello: A Reinforcement Learning Approach for the Flexible Job Shop Scheduling Problem. LION 2011: 253-262

Wajdi Halabi, Kris Steenhaut, Ann Nowé, Pasquale Gurzi: Routing and signaling in GMPLS based DWDM multi domain multilayer networks using IP/WDM router. WOCN 2011: 1-5

Sven Van Segbroeck, Steven de Jong, Ann Nowé, Francisco C. Santos, Tom Lenaerts: Learning to coordinate in complex networks. Adaptive Behaviour 18(5): 416-427 (2010)

Yann-Michaël De Hauwere, Peter Vrancx, Ann Nowé: Generalized learning automata for multi-agent reinforcement learning. AI Commun. 23(4): 311-324 (2010)

Peter Vrancx, Katja Verbeeck, Ann Nowé: Analyzing the dynamics of stigmergetic interactions through pheromone games. Theor. Comput. Sci. 411(21): 2116-2126 (2010)

Yann-Michaël De Hauwere, Peter Vrancx, Ann Nowé: Learning multi-agent state space representations. AAMAS 2010: 715-722

Peter Vrancx, Katja Verbeeck, Ann Nowé: Taking turns in general sum Markov games. AAMAS 2010: 1439-1440

Cosmin Lazar, Danielle Nuzillard, Ann Nowé: A New Geometrical BSS Approach for Non Negative Sources. LVA/ICA 2010: 530-537

Yann-Aël Le Borgne, Ann Nowé, Kris Steenhaut, Etro Lab, Gianluca Bontempi: Demonstrating principal component aggregation for distributed spatial pattern recognition. IPSN 2010: 430-431

Nashat Abughalieh, Yann-Aël Le Borgne, Kris Steenhaut, Ann Nowé: Lifetime optimization for wireless sensor networks with correlated data gathering. WiOpt 2010: 266-272

Yann-Michaël De Hauwere, Peter Vrancx, Ann Nowé: Multi-Agent Systems and Large State Spaces. Agent and Multi-agent Technology for Internet and Enterprise Systems 2010: 181-205

Sven Van Segbroeck, Ann Nowé, Tom Lenaerts: Stochastic Simulation of the Chemoton. Artificial Life 15(2): 213-226 (2009)

Mihail Mihaylov, Karl Tuyls, Ann Nowé: Decentralized Learning in Wireless Sensor Networks. ALA 2009: 60-73

Sven Van Segbroeck, Francisco C. Santos, Ann Nowé, Jorge M. Pacheco, Tom Lenaerts: The coevolution of loyalty and cooperation. IEEE Congress on Evolutionary Computation 2009: 500-505

Martin Köhn, Walter Colitti, Pasquale Gurzi, Ann Nowé, Kris Steenhaut: Multi-layer Traffic Engineering (MTE) in Grooming Enabled ASON/GMPLS Networks. COST Action 291 Final Report 2009: 237-252

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: Software Tools and Methods for Research and Education in Optical Networks. COST Action 291 Final Report 2009: 331-364

Joris Borms, Kris Steenhaut, Bart Lemmens, Ann Nowé: Power Aware Fulfilment of Latency Requirements by Exploiting Heterogeneity in Wireless Sensor and Actuator Networks. DSD 2009: 597-600

Pasquale Gurzi, Walter Colitti, Kris Steenhaut, Ann Nowé: Maximum flow based Routing and Wavelength Assignment in all-optical networks. ICUMT 2009: 1-6

Yudel Gómez, Rafael Bello, Ann Nowé, Enrique Casanovas, Jonatan Taminau: Multi-colony ACO and Rough Set Theory to Distributed Feature Selection Problem. IWANN (2) 2009: 458-461

Yudel Gómez, Rafael Bello, Amilkar Puris, María M. García, Ann Nowé: Two Step Swarm Intelligence to Solve the Feature Selection Problem. J. UCS 14(15): 2582-2596 (2008)

Peter Vrancx, Katja Verbeeck, Ann Nowé: Decentralized Learning in Markov Games. IEEE Transactions on Systems, Man, and Cybernetics, Part B 38(4): 976-981 (2008)

Hugues Smeets, Kris Steenhaut, Ann Nowé: An Efficient Distributed Self-Organizing Routing Algorithm for Wireless Sensor Networks. CISIS 2008: 19-25

Walter Colitti, Kris Steenhaut, Ann Nowé: Multilayer traffic engineering and DiffServ in the next generation internet. COMSWARE 2008: 591-598

Walter Colitti, Pasquale Gurzi, Kris Steenhaut, Ann Nowé: Adaptive multilayer routing in the next generation GMPLS Internet. COMSWARE 2008: 768-775

Yudel Gómez, Rafael Bello, Ann Nowé, Frank Bosmans: Speeding-Up ACO Implementation by Decreasing the Number of Heuristic Function Evaluations in Feature Selection Problem. IWPACBB 2008: 223-232

Yann-Michaël De Hauwere, Peter Vrancx, Ann Nowé: Using Generalized Learning Automata for State Space Aggregation in MAS. KES (1) 2008: 182-193

Maarten Peeters, Ville Könönen, Katja Verbeeck, Ann Nowé: A Learning Automata Approach to Multi-agent Policy Gradient Learning. KES (2) 2008: 379-390

Maarten Peeters, Ville Könönen, Katja Verbeeck, Sven Van Segbroeck, Ann Nowé: Coordinated Exploration in Conflicting Multi-stage Games. KES (2) 2008: 391-402

Isis Bonet, Abdel Rodríguez, Ricardo Grau Ábalo, María M. García, Yvan Saeys, Ann Nowé: Comparing Distance Measures with Visual Methods. MICAI 2008: 90-99

Karl Tuyls, Ann Nowé: Introduction to Game Theory. Wiley Encyclopedia of Computer Science and Engineering 2008

Karl Tuyls, Ann Nowé, Zahia Guessoum, Daniel Kudenko (Eds.): 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. Lecture Notes in Computer Science 4865, Springer 2008, isbn 978-3-540-77947-6

Katja Verbeeck, Ann Nowé, Johan Parent, Karl Tuyls: Exploring selfish reinforcement learning in repeated games with stochastic rewards. Autonomous Agents and Multi-Agent Systems 14(3): 239-269 (2007)

Nyree Lemmens, Steven de Jong, Karl Tuyls, Ann Nowé: Bee Behaviour in Multi-agent Systems. Adaptive Agents and Multi-Agents Systems 2007: 145-156

Maarten Peeters, Katja Verbeeck, Ann Nowé: Solving Multi-stage Games with Hierarchical Learning Automata That Bootstrap. Adaptive Agents and Multi-Agents Systems 2007: 169-187

Peter Vrancx, Katja Verbeeck, Ann Nowé: Networks of Learning Automata and Limiting Games. Adaptive Agents and Multi-Agents Systems 2007: 224-238

Amilkar Puris, Rafael Bello, Yaima Trujillo, Ann Nowé, Yailen Martínez: Two-Stage ACO to Solve the Job Shop Scheduling Problem. CIARP 2007: 447-456

Rafael Bello, Yudel Gómez, María M. García, Ann Nowé: Two-Step Particle Swarm Optimization to Solve the Feature Selection Problem. ISDA 2007: 691-696

Amilkar Puris, Rafael Bello, Yailen Martínez, Ann Nowé: Two-Stage Ant Colony Optimization for Solving the Traveling Salesman Problem. IWINAC (2) 2007: 307-316

Peter Vrancx, Katja Verbeeck, Ann Nowé: Optimal Convergence in Multi-Agent MDPs. KES (3) 2007: 107-114

Walter Colitti, Kris Steenhaut, Ann Nowé, Jan Lemeire: Multilayer Quality and Grade of Service Support for High Speed GMPLS IP/DWDM Networks. NBiS 2007: 187-196

Karl Tuyls, Ronald L. Westra, Yvan Saeys, Ann Nowé (Eds.): Knowledge Discovery and Emergent Complexity in Bioinformatics, First International Workshop, KDECB 2006, Ghent, Belgium, May 10, 2006. Revised Selected Papers. Lecture Notes in Computer Science 4366, Springer 2007, isbn 978-3-540-71036-3

Peter Vrancx, Ann Nowé: Using Pheromone Repulsion to Find Disjoint Paths. ANTS Workshop 2006: 522-523

Rafael Bello, Amilkar Puris, Ann Nowé, Yailen Martínez, María M. García: Two Step Ant Colony System to Solve the Feature Selection Problem. CIARP 2006: 588-596

Ann Nowé, Katja Verbeeck, Maarten Peeters: Learning Automata as a Basis for Multi Agent Reinforcement Learning. EUMAS 2006

Ronald L. Westra, Karl Tuyls, Yvan Saeys, Ann Nowé: Knowledge Discovery and Emergent Complexity in Bioinformatics. KDECB 2006: 1-9

Peter Vrancx, Katja Verbeeck, Ann Nowé: Analyzing Stigmergetic Algorithms Through Automata Games. KDECB 2006: 145-156

Yaile Caballero, Rafael Bello, Alberto Taboada, Ann Nowé, María M. García, Gladys Casas: A New Measure Based in the Rough Set Theory to Estimate the Training Set Quality. SYNASC 2006: 133-140

Karl Tuyls, Ann Nowé: Evolutionary game theory and multi-agent reinforcement learning. Knowledge Eng. Review 20(1): 63-90 (2005)

Katja Verbeeck, Ann Nowé, Maarten Peeters, Karl Tuyls: Multi-agent Reinforcement Learning in Stochastic Single and Multi-stage Games. Adaptive Agents and Multi-Agent Systems 2005: 275-294

Katja Verbeeck, Ann Nowé, Karl Tuyls: Coordinated exploration in multi-agent reinforcement learning: an application to load-balancing. AAMAS 2005: 1105-1106

Johan Parent, Ann Nowé, Anne Defaweux, Kris Steenhaut: Compressed Linear Genetic Programming: empirical parameter study on the Even-n-parity problem. BNAIC 2005: 373-374

Johan Parent, Ann Nowé, Kris Steenhaut, Anne Defaweux: Linear genetic programming using a compressed genotype representation. Congress on Evolutionary Computation 2005: 1164-1171

Peter Vrancx, Ann Nowé, Kris Steenhaut: Multi-type ACO for light path protection. EUMAS 2005: 513

Pieter Beyens, Ann Nowé, Kris Steenhaut: High-density wireless sensor networks: a new clustering approach for prediction-based monitoring. EWSN 2005: 188-196

Rafael Bello, Ann Nowé, Yaile Caballero, Yudel Gómez, Peter Vrancx: A model based on ant colony system and rough set theory to feature selection. GECCO 2005: 275-276

Ann Nowé, Katja Verbeeck, Maarten Peeters: Learning Automata as a Basis for Multi Agent Reinforcement Learning. LAMAS 2005: 71-85

Peter Vrancx, Ann Nowé, Kris Steenhaut: Multi-type ACO for Light Path Protection. LAMAS 2005: 207-215

Katja Verbeeck, Karl Tuyls, Ann Nowé, Bernard Manderick, Bart Kuijpers (Eds.): BNAIC 2005 - Proceedings of the Seventeenth Belgium-Netherlands Conference on Artificial Intelligence, Brussels, Belgium, October 17-18, 2005. Koninklijke Vlaamse Academie van Belie voor Wetenschappen en Kunsten 2005

Marie Pierre Gleizes, Gal A. Kaminka, Ann Nowé, Sascha Ossowski, Karl Tuyls, Katja Verbeeck (Eds.): EUMAS 2005 - Proceedings of the Third European Workshop on Multi-Agent Systems, Brussels, Belgium, December 7-8, 2005. Koninklijke Vlaamse Academie van Belie voor Wetenschappen en Kunsten 2005

Johan Parent, Katja Verbeeck, Jan Lemeire, Ann Nowé, Kris Steenhaut, Erik F. Dirkx: Adaptive load balancing of parallel applications with multi-agent reinforcement learning on heterogeneous systems. Scientific Programming 12(2): 71-79 (2004)

Ann Nowé, Katja Verbeeck, Peter Vrancx: Multi-type Ant Colony: The Edge Disjoint Paths Problem. ANTS Workshop 2004: 202-213

Karl Tuyls, Dries Heytens, Ann Nowé, Bernard Manderick: Extended Replicator Dynamics as a Key to Reinforcement Learning in Multi-agent Systems. ECML 2003: 421-431

Lan Tran, Kris Steenhaut, Ann Nowé, Mario Pickavet, Piet Demeester: Efficient Usage of Capacity Resources in Survivable MP lambda S Networks. QoS-IP 2003: 204-217

Katja Verbeeck, Ann Nowé: Colonies of learning automata. IEEE Transactions on Systems, Man, and Cybernetics, Part B 32(6): 772-780 (2002)

Katja Verbeeck, Ann Nowé, Tom Lenaerts, Johan Parent: Learning to Reach the Pareto Optimal Nash Equilibrium as a Team. Australian Joint Conference on Artificial Intelligence 2002: 407-418

Johan Parent, Ann Nowé: Evolving Compression Preprocessors With Genetic Programming. GECCO 2002: 861-867

Katja Verbeeck, Johan Parent, Ann Nowé: Homo Egualis Reinforcement Learning Agents for Load Balancing. WRAC 2002: 81-91

Ann Nowé, Johan Parent, Katja Verbeeck: Social Agents Playing a Periodical Policy. ECML 2001: 382-393

Ann Nowé, Katja Verbeeck: Formalizing the Ant Algorithms in Terms of Reinforcement Learning. ECAL 1999: 616-620

Ann Nowé, Ranjan Vepa: A Reinforcement Learning Algorithm based on "Safety". FLAI 1993: 47-58

Ann Nowé: A self-tuning robust fuzzy controller. Microprocessing and Microprogramming 35(1-5): 719-726 (1992)

Viviane Jonckers, Ann Nowé: An environment for knowledge based transformational implementation. IEA/AIE (2) 1989: 610-619