Karl Tuyls

Universiteit Maastricht

2007
26		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
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	Marie Pierre Gleizes	[13]
5	Marc Gyssens	[17] [24]
6	D. Hennes	[25]
7	H. Jaap van den Herik	[25]
8	Dries Heytens	[3]
9	Pieter Jan't Hoen	[6] [8] [15] [21]
10	Goele Hollanders	[17] [24]
11	Steven de Jong	[20]
12	M. Kaisers	[25]
13	Gal A. Kaminka	[13]
14	Bart Kuijpers	[9] [14]
15	Tom Lenaerts	[5]
16	Sean Luke	[8]
17	Sam Maes	[1] [2] [4]
18	Bernard Manderick	[1] [2] [3] [14]
19	Frank Neven	[16]
20	Ann Nowé	[3] [11] [12] [13] [14] [19] [22] [26]
21	Sascha Ossowski	[13]
22	Liviu Panait	[8]
23	Johan Parent	[22]
24	Simon Parsons	[23]
25	Maarten Peeters	[11]
26	Eric O. Postma	[18]
27	Johannes A. La Poutré (Han La Poutré)	[8]
28	Jan Ramon	[7]
29	Yvan Saeys	[19] [26]
30	Thomas Schwentick	[16]
31	Sandip Sen	[21]
32	Ida G. Sprinkhuizen-Kuyper	[20]
33	Ben Torben-Nielsen	[18]
34	Bram Vanschoenwinkel	[15]
35	Katja Verbeeck	[4] [5] [11] [12] [13] [14] [21] [22] [25]
36	Bart De Vylder	[10]
37	Ronald L. Westra	[17] [19] [24] [26]

Colors in the list of coauthors