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Katja Verbeeck: [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. 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]
  3. Karl Tuyls, Katja Verbeeck, Tom Lenaerts
    A selection-mutation model for q-learning in multi-agent systems. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2003, pp:693-700 [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. Karl Tuyls, Katja Verbeeck, Sam Maes
    On a Dynamical Analysis of Reinforcement Learning in Games: Emergence of Occam's Razor. [Citation Graph (0, 0)][DBLP]
    CEEMAS, 2003, pp:335-344 [Conf]
  7. Ann Nowé, Katja Verbeeck
    Formalizing the Ant Algorithms in Terms of Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ECAL, 1999, pp:616-620 [Conf]
  8. Ann Nowé, Johan Parent, Katja Verbeeck
    Social Agents Playing a Periodical Policy. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:382-393 [Conf]
  9. Viviane Jonckers, Bruno Van Damme, Katja Verbeeck
    Factorisation of OMT Models. [Citation Graph (0, 0)][DBLP]
    ICEIS, 1999, pp:775- [Conf]
  10. 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]
  11. 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]
  12. 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]
  13. 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]
  14. H. Jaap van den Herik, D. Hennes, M. Kaisers, Karl Tuyls, Katja Verbeeck
    Multi-agent Learning Dynamics: A Survey. [Citation Graph (0, 0)][DBLP]
    CIA, 2007, pp:36-56 [Conf]
  15. Peter Vrancx, Katja Verbeeck, Ann Nowé
    Optimal Convergence in Multi-Agent MDPs. [Citation Graph (0, 0)][DBLP]
    KES (3), 2007, pp:107-114 [Conf]
  16. Peter Vrancx, Katja Verbeeck, Ann Nowé
    Analyzing Stigmergetic Algorithms Through Automata Games. [Citation Graph (0, 0)][DBLP]
    KDECB, 2006, pp:145-156 [Conf]
  17. 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]

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

  19. Priority Awareness: Towards a Computational Model of Human Fairness for Multi-agent Systems. [Citation Graph (, )][DBLP]

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

  21. Artificial agents learning human fairness. [Citation Graph (, )][DBLP]

  22. Dynamic scheduling of multi-media streams in home automation systems. [Citation Graph (, )][DBLP]

  23. A sensor middleware and agent-based communication platform for supply-chain management. [Citation Graph (, )][DBLP]

  24. A game theoretic approach to decentralized multi-project scheduling. [Citation Graph (, )][DBLP]

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

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

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

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

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