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Johan Parent: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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]
  2. 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]
  3. Ann Nowé, Johan Parent, Katja Verbeeck
    Social Agents Playing a Periodical Policy. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:382-393 [Conf]
  4. Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, Johan Parent
    Transition models as an incremental approach for problem solving in evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:599-606 [Conf]
  5. Johan Parent, Ann Nowé
    Evolving Compression Preprocessors With Genetic Programming. [Citation Graph (0, 0)][DBLP]
    GECCO, 2002, pp:861-867 [Conf]
  6. Andreas Birk 0002, Thomas Walle, Tony Belpaeme, Johan Parent, Tom De Vlaminck, Holger Kenn
    The Small League RoboCup Team of the VUB AI-Lab. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1998, pp:410-415 [Conf]
  7. 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]
  8. 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]
  9. Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, Johan Parent
    Complexity transitions in evolutionary algorithms: evaluating the impact of the initial population. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:2174-2181 [Conf]
  10. 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]
  11. 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]

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