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Karl Tuyls: [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. 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]
  3. 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]
  4. Bart De Vylder, Karl Tuyls
    Towards a Common Lexicon in The Naming Game: The Dynamics of Synonymy Reduction. [Citation Graph (0, 0)][DBLP]
    BNAIC, 2005, pp:112-119 [Conf]
  5. 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]
  6. Pieter Jan't Hoen, Karl Tuyls
    Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics. [Citation Graph (0, 0)][DBLP]
    ECML, 2004, pp:168-179 [Conf]
  7. 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]
  8. Karl Tuyls, Bart Kuijpers
    Privacy in Multi-Agent Learning: Securely Inducing a Multi-Agent Decision Tree. [Citation Graph (0, 0)][DBLP]
    EUMAS, 2005, pp:427-438 [Conf]
  9. Karl Tuyls, Sam Maes, Bernard Manderick
    Q-Learning in Simulated Robotic Soccer - Large State Spaces and Incomplete Information. [Citation Graph (0, 0)][DBLP]
    ICMLA, 2002, pp:226-232 [Conf]
  10. Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice Bruynooghe
    Multi-agent Relational Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    LAMAS, 2005, pp:192-206 [Conf]
  11. Pieter Jan't Hoen, Karl Tuyls, Liviu Panait, Sean Luke, Johannes A. La Poutré
    An Overview of Cooperative and Competitive Multiagent Learning. [Citation Graph (0, 0)][DBLP]
    LAMAS, 2005, pp:1-46 [Conf]
  12. Karl Tuyls, Sam Maes, Bernard Manderick
    Reinforcement Learning in Large State Spaces. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2002, pp:319-326 [Conf]
  13. Geert Jan Bex, Frank Neven, Thomas Schwentick, Karl Tuyls
    Inference of Concise DTDs from XML Data. [Citation Graph (0, 0)][DBLP]
    VLDB, 2006, pp:115-126 [Conf]
  14. Steven de Jong, Karl Tuyls, Ida G. Sprinkhuizen-Kuyper
    Robust and Scalable Coordination of Potential-Field Driven Agents. [Citation Graph (0, 0)][DBLP]
    CIMCA/IAWTIC, 2006, pp:230- [Conf]
  15. Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinkel
    An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games. [Citation Graph (0, 0)][DBLP]
    Autonomous Agents and Multi-Agent Systems, 2006, v:12, n:1, pp:115-153 [Journal]
  16. 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]
  17. Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ronald L. Westra, Karl Tuyls
    On Phase Transitions in Learning Sparse Networks. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:591-599 [Conf]
  18. Ben Torben-Nielsen, Karl Tuyls, Eric O. Postma
    On the Neuronal Morphology-Function Relationship: A Synthetic Approach. [Citation Graph (0, 0)][DBLP]
    KDECB, 2006, pp:131-144 [Conf]
  19. Ronald L. Westra, Goele Hollanders, Geert Jan Bex, Marc Gyssens, Karl Tuyls
    The Identification of Dynamic Gene-Protein Networks. [Citation Graph (0, 0)][DBLP]
    KDECB, 2006, pp:157-170 [Conf]
  20. 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]
  21. 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]
  22. Karl Tuyls, Simon Parsons
    What evolutionary game theory tells us about multiagent learning. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2007, v:171, n:7, pp:406-416 [Journal]

  23. Bayes-Relational Learning of Opponent Models from Incomplete Information in No-Limit Poker. [Citation Graph (, )][DBLP]

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

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

  26. Theoretical advantages of lenient Q-learners: an evolutionary game theoretic perspective. [Citation Graph (, )][DBLP]

  27. Switching dynamics of multi-agent learning. [Citation Graph (, )][DBLP]

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

  29. Stigmergic landmark foraging. [Citation Graph (, )][DBLP]

  30. State-coupled replicator dynamics. [Citation Graph (, )][DBLP]

  31. Learning with whom to communicate using relational reinforcement learning. [Citation Graph (, )][DBLP]

  32. An evolutionary model of multi-agent learning with a varying exploration rate. [Citation Graph (, )][DBLP]

  33. Learning to cooperate in a continuous tragedy of the commons. [Citation Graph (, )][DBLP]

  34. Frequency adjusted multi-agent Q-learning. [Citation Graph (, )][DBLP]

  35. Stigmergic landmark routing: a routing algorithm for wireless mobile ad-hoc networks. [Citation Graph (, )][DBLP]

  36. Formalizing Multi-state Learning Dynamics. [Citation Graph (, )][DBLP]

  37. Auction Analysis by Normal Form Game Approximation. [Citation Graph (, )][DBLP]

  38. Shaping Realistic Neuronal Morphologies: An Evolutionary Computation Method. [Citation Graph (, )][DBLP]

  39. Evolutionary Dynamics of Regret Minimization. [Citation Graph (, )][DBLP]

  40. The pattern memory of gene-protein networks. [Citation Graph (, )][DBLP]

  41. Privacy Preserving ID3 over Horizontally, Vertically and Grid Partitioned Data [Citation Graph (, )][DBLP]

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