Karl Tuyls

Universiteit Maastricht

2008
29	EE	H. H. L. M. Donkers, Karl Tuyls: Belief Networks for Bioinformatics. Computational Intelligence in Bioinformatics 2008: 75-111
28	EE	Bart Kuijpers, Vanessa Lemmens, Bart Moelans, Karl Tuyls: Privacy Preserving ID3 over Horizontally, Vertically and Grid Partitioned Data CoRR abs/0803.1555: (2008)
2007
27		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
26	EE	Liviu Panait, Karl Tuyls: Theoretical advantages of lenient Q-learners: an evolutionary game theoretic perspective. AAMAS 2007: 40
25	EE	H. Jaap van den Herik, D. Hennes, M. Kaisers, Karl Tuyls, Katja Verbeeck: Multi-agent Learning Dynamics: A Survey. CIA 2007: 36-56
24	EE	Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ronald L. Westra, Karl Tuyls: On Phase Transitions in Learning Sparse Networks. ECML 2007: 591-599
23	EE	Karl Tuyls, Simon Parsons: What evolutionary game theory tells us about multiagent learning. Artif. Intell. 171(7): 406-416 (2007)
22	EE	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
21		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
20	EE	Steven de Jong, Karl Tuyls, Ida G. Sprinkhuizen-Kuyper: Robust and Scalable Coordination of Potential-Field Driven Agents. CIMCA/IAWTIC 2006: 230
19	EE	Ronald L. Westra, Karl Tuyls, Yvan Saeys, Ann Nowé: Knowledge Discovery and Emergent Complexity in Bioinformatics. KDECB 2006: 1-9
18	EE	Ben Torben-Nielsen, Karl Tuyls, Eric O. Postma: On the Neuronal Morphology-Function Relationship: A Synthetic Approach. KDECB 2006: 131-144
17	EE	Ronald L. Westra, Goele Hollanders, Geert Jan Bex, Marc Gyssens, Karl Tuyls: The Identification of Dynamic Gene-Protein Networks. KDECB 2006: 157-170
16	EE	Geert Jan Bex, Frank Neven, Thomas Schwentick, Karl Tuyls: Inference of Concise DTDs from XML Data. VLDB 2006: 115-126
15	EE	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
14		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
13		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
12	EE	Katja Verbeeck, Ann Nowé, Karl Tuyls: Coordinated exploration in multi-agent reinforcement learning: an application to load-balancing. AAMAS 2005: 1105-1106
11	EE	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
10		Bart De Vylder, Karl Tuyls: Towards a Common Lexicon in The Naming Game: The Dynamics of Synonymy Reduction. BNAIC 2005: 112-119
9		Karl Tuyls, Bart Kuijpers: Privacy in Multi-Agent Learning: Securely Inducing a Multi-Agent Decision Tree. EUMAS 2005: 427-438
8	EE	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
7	EE	Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice Bruynooghe: Multi-agent Relational Reinforcement Learning. LAMAS 2005: 192-206
2004
6	EE	Pieter Jan't Hoen, Karl Tuyls: Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics. ECML 2004: 168-179
2003
5	EE	Karl Tuyls, Katja Verbeeck, Tom Lenaerts: A selection-mutation model for q-learning in multi-agent systems. AAMAS 2003: 693-700
4	EE	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	EE	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	EE	Karl Tuyls, Sam Maes, Bernard Manderick: Reinforcement Learning in Large State Spaces. RoboCup 2002: 319-326

Coauthor Index

1	Geert Jan Bex	[16] [17] [24]
2	Maurice Bruynooghe	[7]
3	Tom Croonenborghs	[7]
4	H. H. L. M. Donkers (Jeroen Donkers)	[29]
5	Marie Pierre Gleizes	[13]
6	Marc Gyssens	[17] [24]
7	D. Hennes	[25]
8	H. Jaap van den Herik	[25]
9	Dries Heytens	[3]
10	Pieter Jan't Hoen	[6] [8] [15] [21]
11	Goele Hollanders	[17] [24]
12	Steven de Jong	[20]
13	M. Kaisers	[25]
14	Gal A. Kaminka	[13]
15	Bart Kuijpers	[9] [14] [28]
16	Vanessa Lemmens	[28]
17	Tom Lenaerts	[5]
18	Sean Luke	[8]
19	Sam Maes	[1] [2] [4]
20	Bernard Manderick	[1] [2] [3] [14]
21	Bart Moelans	[28]
22	Frank Neven	[16]
23	Ann Nowé	[3] [11] [12] [13] [14] [19] [22] [27]
24	Sascha Ossowski	[13]
25	Liviu Panait	[8] [26]
26	Johan Parent	[22]
27	Simon Parsons	[23]
28	Maarten Peeters	[11]
29	Eric O. Postma	[18]
30	Johannes A. La Poutré (Han La Poutré)	[8]
31	Jan Ramon	[7]
32	Yvan Saeys	[19] [27]
33	Thomas Schwentick	[16]
34	Sandip Sen	[21]
35	Ida G. Sprinkhuizen-Kuyper	[20]
36	Ben Torben-Nielsen	[18]
37	Bram Vanschoenwinkel	[15]
38	Katja Verbeeck	[4] [5] [11] [12] [13] [14] [21] [22] [25]
39	Bart De Vylder	[10]
40	Ronald L. Westra	[17] [19] [24] [27]

Colors in the list of coauthors