Universiteit Maastricht
List of publications from the DBLP Bibliography Server - FAQ
2009 | ||
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49 | Nyree Lemmens, Karl Tuyls: Stigmergic landmark foraging. AAMAS (1) 2009: 497-504 | |
48 | Steven de Jong, Karl Tuyls: Learning to cooperate in a continuous tragedy of the commons. AAMAS (2) 2009: 1185-1186 | |
47 | Marc J. V. Ponsen, Tom Croonenborghs, Karl Tuyls, Jan Ramon, Kurt Driessens: Learning with whom to communicate using relational reinforcement learning. AAMAS (2) 2009: 1221-1222 | |
46 | Michael Kaisers, Karl Tuyls, Simon Parsons, Frank Thuijsman: An evolutionary model of multi-agent learning with a varying exploration rate. AAMAS (2) 2009: 1255-1256 | |
45 | Daniel Hennes, Karl Tuyls, Matthias Rauterberg: State-coupled replicator dynamics. AAMAS (2) 2009: 789-796 | |
2008 | ||
44 | Karl Tuyls, Ann Nowé, Zahia Guessoum, Daniel Kudenko: 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 Springer 2008 | |
43 | Marc J. V. Ponsen, Jan Ramon, Tom Croonenborghs, Kurt Driessens, Karl Tuyls: Bayes-Relational Learning of Opponent Models from Incomplete Information in No-Limit Poker. AAAI 2008: 1485-1486 | |
42 | Peter Vrancx, Karl Tuyls, Ronald L. Westra: Switching dynamics of multi-agent learning. AAMAS (1) 2008: 307-313 | |
41 | Steven de Jong, Karl Tuyls, Katja Verbeeck: Artificial agents learning human fairness. AAMAS (2) 2008: 863-870 | |
40 | Daniel Hennes, Karl Tuyls, Matthias Rauterberg: Formalizing Multi-state Learning Dynamics. IAT 2008: 266-272 | |
39 | Michael Kaisers, Karl Tuyls, Frank Thuijsman, Simon Parsons: Auction Analysis by Normal Form Game Approximation. IAT 2008: 447-450 | |
38 | H. H. L. M. Donkers, Karl Tuyls: Belief Networks for Bioinformatics. Computational Intelligence in Bioinformatics 2008: 75-111 | |
37 | Karl Tuyls, Ann Nowé: Introduction to Game Theory. Wiley Encyclopedia of Computer Science and Engineering 2008 | |
36 | Bart Kuijpers, Vanessa Lemmens, Bart Moelans, Karl Tuyls: Privacy Preserving ID3 over Horizontally, Vertically and Grid Partitioned Data CoRR abs/0803.1555: (2008) | |
35 | Steven de Jong, Simon Uyttendaele, Karl Tuyls: Learning to Reach Agreement in a Continuous Ultimatum Game. J. Artif. Intell. Res. (JAIR) 33: 551-574 (2008) | |
34 | Steven de Jong, Karl Tuyls, Katja Verbeeck: Fairness in multi-agent systems. Knowledge Eng. Review 23(2): 153-180 (2008) | |
33 | Ben Torben-Nielsen, Karl Tuyls, Eric O. Postma: EvOL-Neuron: Neuronal morphology generation. Neurocomputing 71(4-6): 963-972 (2008) | |
2007 | ||
32 | Karl Tuyls, Ronald L. Westra, Yvan Saeys, Ann Nowé: Knowledge Discovery and Emergent Complexity in Bioinformatics, First International Workshop, KDECB 2006, Ghent, Belgium, May 10, 2006. Revised Selected Papers Springer 2007 | |
31 | Liviu Panait, Karl Tuyls: Theoretical advantages of lenient Q-learners: an evolutionary game theoretic perspective. AAMAS 2007: 40 | |
30 | Steven de Jong, Karl Tuyls, Katja Verbeeck, Nico Roos: Priority Awareness: Towards a Computational Model of Human Fairness for Multi-agent Systems. Adaptive Agents and Multi-Agents Systems 2007: 117-128 | |
29 | Nyree Lemmens, Steven de Jong, Karl Tuyls, Ann Nowé: Bee Behaviour in Multi-agent Systems. Adaptive Agents and Multi-Agents Systems 2007: 145-156 | |
28 | H. Jaap van den Herik, Daniel Hennes, Michael Kaisers, Karl Tuyls, Katja Verbeeck: Multi-agent Learning Dynamics: A Survey. CIA 2007: 36-56 | |
27 | Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ronald L. Westra, Karl Tuyls: On Phase Transitions in Learning Sparse Networks. ECML 2007: 591-599 | |
26 | Ronald L. Westra, Goele Hollanders, Geert Jan Bex, Marc Gyssens, Karl Tuyls: The pattern memory of gene-protein networks. AI Commun. 20(4): 297-311 (2007) | |
25 | Karl Tuyls, Simon Parsons: What evolutionary game theory tells us about multiagent learning. Artif. Intell. 171(7): 406-416 (2007) | |
24 | 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) | |
2006 | ||
23 | Karl Tuyls, Pieter Jan't Hoen, Katja Verbeeck, Sandip Sen: Learning and Adaption in Multi-Agent Systems, First International Workshop, LAMAS 2005, Utrecht, The Netherlands, July 25, 2005, Revised Selected Papers Springer 2006 | |
22 | Steven de Jong, Karl Tuyls, Ida G. Sprinkhuizen-Kuyper: Robust and Scalable Coordination of Potential-Field Driven Agents. CIMCA/IAWTIC 2006: 230 | |
21 | Ben Torben-Nielsen, Karl Tuyls, Eric O. Postma: Shaping Realistic Neuronal Morphologies: An Evolutionary Computation Method. IJCNN 2006: 573-580 | |
20 | Ronald L. Westra, Karl Tuyls, Yvan Saeys, Ann Nowé: Knowledge Discovery and Emergent Complexity in Bioinformatics. KDECB 2006: 1-9 | |
19 | Ben Torben-Nielsen, Karl Tuyls, Eric O. Postma: On the Neuronal Morphology-Function Relationship: A Synthetic Approach. KDECB 2006: 131-144 | |
18 | Ronald L. Westra, Goele Hollanders, Geert Jan Bex, Marc Gyssens, Karl Tuyls: The Identification of Dynamic Gene-Protein Networks. KDECB 2006: 157-170 | |
17 | Geert Jan Bex, Frank Neven, Thomas Schwentick, Karl Tuyls: Inference of Concise DTDs from XML Data. VLDB 2006: 115-126 | |
16 | Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinkel: An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games. Autonomous Agents and Multi-Agent Systems 12(1): 115-153 (2006) | |
2005 | ||
15 | Katja Verbeeck, Karl Tuyls, Ann Nowé, Bernard Manderick, Bart Kuijpers: 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 | |
14 | Marie Pierre Gleizes, Gal A. Kaminka, Ann Nowé, Sascha Ossowski, Karl Tuyls, Katja Verbeeck: 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 | |
13 | Katja Verbeeck, Ann Nowé, Karl Tuyls: Coordinated exploration in multi-agent reinforcement learning: an application to load-balancing. AAMAS 2005: 1105-1106 | |
12 | 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 | |
11 | Bart De Vylder, Karl Tuyls: Towards a Common Lexicon in The Naming Game: The Dynamics of Synonymy Reduction. BNAIC 2005: 112-119 | |
10 | Karl Tuyls, Bart Kuijpers: Privacy in Multi-Agent Learning: Securely Inducing a Multi-Agent Decision Tree. EUMAS 2005: 427-438 | |
9 | Pieter Jan't Hoen, Karl Tuyls, Liviu Panait, Sean Luke, Johannes A. La Poutré: An Overview of Cooperative and Competitive Multiagent Learning. LAMAS 2005: 1-46 | |
8 | Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice Bruynooghe: Multi-agent Relational Reinforcement Learning. LAMAS 2005: 192-206 | |
7 | Karl Tuyls, Ann Nowé: Evolutionary game theory and multi-agent reinforcement learning. Knowledge Eng. Review 20(1): 63-90 (2005) | |
2004 | ||
6 | Pieter Jan't Hoen, Karl Tuyls: Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics. ECML 2004: 168-179 | |
2003 | ||
5 | Karl Tuyls, Katja Verbeeck, Tom Lenaerts: A selection-mutation model for q-learning in multi-agent systems. AAMAS 2003: 693-700 | |
4 | Karl Tuyls, Katja Verbeeck, Sam Maes: On a Dynamical Analysis of Reinforcement Learning in Games: Emergence of Occam's Razor. CEEMAS 2003: 335-344 | |
3 | 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 | |
2002 | ||
2 | Karl Tuyls, Sam Maes, Bernard Manderick: Q-Learning in Simulated Robotic Soccer - Large State Spaces and Incomplete Information. ICMLA 2002: 226-232 | |
1 | Karl Tuyls, Sam Maes, Bernard Manderick: Reinforcement Learning in Large State Spaces. RoboCup 2002: 319-326 |