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Ann Nowé: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Katja Verbeeck, Ann Nowé, Maarten Peeters, Karl Tuyls
    Multi-agent Reinforcement Learning in Stochastic Single and Multi-stage Games. [Citation Graph (0, 0)][DBLP]
    Adaptive Agents and Multi-Agent Systems, 2005, pp:275-294 [Conf]
  2. Peter Vrancx, Ann Nowé
    Using Pheromone Repulsion to Find Disjoint Paths. [Citation Graph (0, 0)][DBLP]
    ANTS Workshop, 2006, pp:522-523 [Conf]
  3. Ann Nowé, Katja Verbeeck, Peter Vrancx
    Multi-type Ant Colony: The Edge Disjoint Paths Problem. [Citation Graph (0, 0)][DBLP]
    ANTS Workshop, 2004, pp:202-213 [Conf]
  4. Katja Verbeeck, Ann Nowé, Karl Tuyls
    Coordinated exploration in multi-agent reinforcement learning: an application to load-balancing. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2005, pp:1105-1106 [Conf]
  5. Katja Verbeeck, Ann Nowé, Tom Lenaerts, Johan Parent
    Learning to Reach the Pareto Optimal Nash Equilibrium as a Team. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 2002, pp:407-418 [Conf]
  6. Johan Parent, Ann Nowé, Anne Defaweux, Kris Steenhaut
    Compressed Linear Genetic Programming: empirical parameter study on the Even-n-parity problem. [Citation Graph (0, 0)][DBLP]
    BNAIC, 2005, pp:373-374 [Conf]
  7. Rafael Bello, Amilkar Puris, Ann Nowé, Yailen Martínez, María M. García
    Two Step Ant Colony System to Solve the Feature Selection Problem. [Citation Graph (0, 0)][DBLP]
    CIARP, 2006, pp:588-596 [Conf]
  8. Ann Nowé, Katja Verbeeck
    Formalizing the Ant Algorithms in Terms of Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ECAL, 1999, pp:616-620 [Conf]
  9. Ann Nowé, Johan Parent, Katja Verbeeck
    Social Agents Playing a Periodical Policy. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:382-393 [Conf]
  10. Karl Tuyls, Dries Heytens, Ann Nowé, Bernard Manderick
    Extended Replicator Dynamics as a Key to Reinforcement Learning in Multi-agent Systems. [Citation Graph (0, 0)][DBLP]
    ECML, 2003, pp:421-431 [Conf]
  11. Peter Vrancx, Ann Nowé, Kris Steenhaut
    Multi-type ACO for light path protection. [Citation Graph (0, 0)][DBLP]
    EUMAS, 2005, pp:513- [Conf]
  12. Rafael Bello, Ann Nowé, Yaile Caballero, Y. Gómez, Peter Vrancx
    A model based on ant colony system and rough set theory to feature selection. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:275-276 [Conf]
  13. Johan Parent, Ann Nowé
    Evolving Compression Preprocessors With Genetic Programming. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:861-867 [Conf]
  14. Viviane Jonckers, Ann Nowé
    An environment for knowledge based transformational implementation. [Citation Graph (0, 0)][DBLP]
    IEA/AIE (2), 1989, pp:610-619 [Conf]
  15. Ann Nowé, Katja Verbeeck, Maarten Peeters
    Learning Automata as a Basis for Multi Agent Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    LAMAS, 2005, pp:71-85 [Conf]
  16. Peter Vrancx, Ann Nowé, Kris Steenhaut
    Multi-type ACO for Light Path Protection. [Citation Graph (0, 0)][DBLP]
    LAMAS, 2005, pp:207-215 [Conf]
  17. Ann Nowé, Ranjan Vepa
    A Reinforcement Learning Algorithm based on "Safety". [Citation Graph (0, 0)][DBLP]
    FLAI, 1993, pp:47-58 [Conf]
  18. Lan Tran, Kris Steenhaut, Ann Nowé, Mario Pickavet, Piet Demeester
    Efficient Usage of Capacity Resources in Survivable MP lambda S Networks. [Citation Graph (0, 0)][DBLP]
    QoS-IP, 2003, pp:204-217 [Conf]
  19. Katja Verbeeck, Johan Parent, Ann Nowé
    Homo Egualis Reinforcement Learning Agents for Load Balancing. [Citation Graph (0, 0)][DBLP]
    WRAC, 2002, pp:81-91 [Conf]
  20. 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. [Citation Graph (0, 0)][DBLP]
    SYNASC, 2006, pp:133-140 [Conf]
  21. 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. [Citation Graph (0, 0)][DBLP]
    Scientific Programming, 2004, v:12, n:2, pp:71-79 [Journal]
  22. Katja Verbeeck, Ann Nowé
    Colonies of learning automata. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2002, v:32, n:6, pp:772-780 [Journal]
  23. Amilkar Puris, Rafael Bello, Yailen Martínez, Ann Nowé
    Two-Stage Ant Colony Optimization for Solving the Traveling Salesman Problem. [Citation Graph (0, 0)][DBLP]
    IWINAC (2), 2007, pp:307-316 [Conf]
  24. Peter Vrancx, Katja Verbeeck, Ann Nowé
    Optimal Convergence in Multi-Agent MDPs. [Citation Graph (0, 0)][DBLP]
    KES (3), 2007, pp:107-114 [Conf]
  25. Johan Parent, Ann Nowé, Kris Steenhaut, Anne Defaweux
    Linear genetic programming using a compressed genotype representation. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:1164-1171 [Conf]
  26. Peter Vrancx, Katja Verbeeck, Ann Nowé
    Analyzing Stigmergetic Algorithms Through Automata Games. [Citation Graph (0, 0)][DBLP]
    KDECB, 2006, pp:145-156 [Conf]
  27. Ronald L. Westra, Karl Tuyls, Yvan Saeys, Ann Nowé
    Knowledge Discovery and Emergent Complexity in Bioinformatics. [Citation Graph (0, 0)][DBLP]
    KDECB, 2006, pp:1-9 [Conf]
  28. Walter Colitti, Kris Steenhaut, Ann Nowé, Jan Lemeire
    Multilayer Quality and Grade of Service Support for High Speed GMPLS IP/DWDM Networks. [Citation Graph (0, 0)][DBLP]
    NBiS, 2007, pp:187-196 [Conf]
  29. Katja Verbeeck, Ann Nowé, Johan Parent, Karl Tuyls
    Exploring selfish reinforcement learning in repeated games with stochastic rewards. [Citation Graph (0, 0)][DBLP]
    Autonomous Agents and Multi-Agent Systems, 2007, v:14, n:3, pp:239-269 [Journal]

  30. Networks of Learning Automata and Limiting Games. [Citation Graph (, )][DBLP]


  31. Bee Behaviour in Multi-agent Systems. [Citation Graph (, )][DBLP]


  32. Solving Multi-stage Games with Hierarchical Learning Automata That Bootstrap. [Citation Graph (, )][DBLP]


  33. Taking turns in general sum Markov games. [Citation Graph (, )][DBLP]


  34. Learning multi-agent state space representations. [Citation Graph (, )][DBLP]


  35. Two-Stage ACO to Solve the Job Shop Scheduling Problem. [Citation Graph (, )][DBLP]


  36. Adaptive multilayer routing in the next generation GMPLS Internet. [Citation Graph (, )][DBLP]


  37. Multilayer traffic engineering and DiffServ in the next generation internet. [Citation Graph (, )][DBLP]


  38. Multi-layer Traffic Engineering (MTE) in Grooming Enabled ASON/GMPLS Networks. [Citation Graph (, )][DBLP]


  39. Software Tools and Methods for Research and Education in Optical Networks. [Citation Graph (, )][DBLP]


  40. Power Aware Fulfilment of Latency Requirements by Exploiting Heterogeneity in Wireless Sensor and Actuator Networks. [Citation Graph (, )][DBLP]


  41. Learning Automata as a Basis for Multi Agent Reinforcement Learning. [Citation Graph (, )][DBLP]


  42. A New Geometrical BSS Approach for Non Negative Sources. [Citation Graph (, )][DBLP]


  43. Demonstrating principal component aggregation for distributed spatial pattern recognition. [Citation Graph (, )][DBLP]


  44. Multi-colony ACO and Rough Set Theory to Distributed Feature Selection Problem. [Citation Graph (, )][DBLP]


  45. Using Generalized Learning Automata for State Space Aggregation in MAS. [Citation Graph (, )][DBLP]


  46. A Learning Automata Approach to Multi-agent Policy Gradient Learning. [Citation Graph (, )][DBLP]


  47. Coordinated Exploration in Conflicting Multi-stage Games. [Citation Graph (, )][DBLP]


  48. Comparing Distance Measures with Visual Methods. [Citation Graph (, )][DBLP]


  49. Lifetime optimization for wireless sensor networks with correlated data gathering. [Citation Graph (, )][DBLP]


  50. The coevolution of loyalty and cooperation. [Citation Graph (, )][DBLP]


  51. An Efficient Distributed Self-Organizing Routing Algorithm for Wireless Sensor Networks. [Citation Graph (, )][DBLP]


  52. Speeding-Up ACO Implementation by Decreasing the Number of Heuristic Function Evaluations in Feature Selection Problem. [Citation Graph (, )][DBLP]


  53. Maximum flow based Routing and Wavelength Assignment in all-optical networks. [Citation Graph (, )][DBLP]


  54. Stochastic Simulation of the Chemoton. [Citation Graph (, )][DBLP]


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