Katja Verbeeck

	2009
31		Klaas Thoelen, Sam Michiels, Wouter Joosen, Koen Vangheluwe, Katja Verbeeck: A sensor middleware and agent-based communication platform for supply-chain management. AAMAS (2) 2009: 1409-1410
	2008
30		Steven de Jong, Karl Tuyls, Katja Verbeeck: Artificial agents learning human fairness. AAMAS (2) 2008: 863-870
29		Koen Vangheluwe, Wouter Souffriau, Katja Verbeeck, Patrick De Causmaecker: Dynamic scheduling of multi-media streams in home automation systems. AAMAS (Demos) 2008: 1683-1684
28		Maarten Peeters, Ville Könönen, Katja Verbeeck, Ann Nowé: A Learning Automata Approach to Multi-agent Policy Gradient Learning. KES (2) 2008: 379-390
27		Maarten Peeters, Ville Könönen, Katja Verbeeck, Sven Van Segbroeck, Ann Nowé: Coordinated Exploration in Conflicting Multi-stage Games. KES (2) 2008: 391-402
26		Peter Vrancx, Katja Verbeeck, Ann Nowé: Decentralized Learning in Markov Games. IEEE Transactions on Systems, Man, and Cybernetics, Part B 38(4): 976-981 (2008)
25		Steven de Jong, Karl Tuyls, Katja Verbeeck: Fairness in multi-agent systems. Knowledge Eng. Review 23(2): 153-180 (2008)
	2007
24		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
23		Maarten Peeters, Katja Verbeeck, Ann Nowé: Solving Multi-stage Games with Hierarchical Learning Automata That Bootstrap. Adaptive Agents and Multi-Agents Systems 2007: 169-187
22		Peter Vrancx, Katja Verbeeck, Ann Nowé: Networks of Learning Automata and Limiting Games. Adaptive Agents and Multi-Agents Systems 2007: 224-238
21		H. Jaap van den Herik, Daniel Hennes, Michael Kaisers, Karl Tuyls, Katja Verbeeck: Multi-agent Learning Dynamics: A Survey. CIA 2007: 36-56
20		Peter Vrancx, Katja Verbeeck, Ann Nowé: Optimal Convergence in Multi-Agent MDPs. KES (3) 2007: 107-114
19		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
18		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
17		Ann Nowé, Katja Verbeeck, Maarten Peeters: Learning Automata as a Basis for Multi Agent Reinforcement Learning. EUMAS 2006
16		Peter Vrancx, Katja Verbeeck, Ann Nowé: Analyzing Stigmergetic Algorithms Through Automata Games. KDECB 2006: 145-156
	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		Ann Nowé, Katja Verbeeck, Maarten Peeters: Learning Automata as a Basis for Multi Agent Reinforcement Learning. LAMAS 2005: 71-85
	2004
10		Ann Nowé, Katja Verbeeck, Peter Vrancx: Multi-type Ant Colony: The Edge Disjoint Paths Problem. ANTS Workshop 2004: 202-213
9		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. Scientific Programming 12(2): 71-79 (2004)
	2003
8		Karl Tuyls, Katja Verbeeck, Tom Lenaerts: A selection-mutation model for q-learning in multi-agent systems. AAMAS 2003: 693-700
7		Karl Tuyls, Katja Verbeeck, Sam Maes: On a Dynamical Analysis of Reinforcement Learning in Games: Emergence of Occam's Razor. CEEMAS 2003: 335-344
	2002
6		Katja Verbeeck, Ann Nowé, Tom Lenaerts, Johan Parent: Learning to Reach the Pareto Optimal Nash Equilibrium as a Team. Australian Joint Conference on Artificial Intelligence 2002: 407-418
5		Katja Verbeeck, Johan Parent, Ann Nowé: Homo Egualis Reinforcement Learning Agents for Load Balancing. WRAC 2002: 81-91
4		Katja Verbeeck, Ann Nowé: Colonies of learning automata. IEEE Transactions on Systems, Man, and Cybernetics, Part B 32(6): 772-780 (2002)
	2001
3		Ann Nowé, Johan Parent, Katja Verbeeck: Social Agents Playing a Periodical Policy. ECML 2001: 382-393
	1999
2		Ann Nowé, Katja Verbeeck: Formalizing the Ant Algorithms in Terms of Reinforcement Learning. ECAL 1999: 616-620
1		Viviane Jonckers, Bruno Van Damme, Katja Verbeeck: Factorisation of OMT Models. ICEIS 1999: 775

Coauthor Index

1	Patrick De Causmaecker	[29]
2	Bruno Van Damme	[1]
3	Erik F. Dirkx	[9]
4	Marie Pierre Gleizes	[14]
5	Daniel Hennes	[21]
6	H. Jaap van den Herik	[21]
7	Pieter Jan't Hoen	[18]
8	Viviane Jonckers	[1]
9	Steven de Jong	[24] [25] [30]
10	Wouter Joosen	[31]
11	Michael Kaisers	[21]
12	Gal A. Kaminka	[14]
13	Ville Könönen	[27] [28]
14	Bart Kuijpers	[15]
15	Jan Lemeire	[9]
16	Tom Lenaerts	[6] [8]
17	Sam Maes	[7]
18	Bernard Manderick	[15]
19	Sam Michiels	[31]
20	Ann Nowé	[2] [3] [4] [5] [6] [9] [10] [11] [12] [13] [14] [15] [16] [17] [19] [20] [22] [23] [26] [27] [28]
21	Sascha Ossowski	[14]
22	Johan Parent	[3] [5] [6] [9] [19]
23	Maarten Peeters	[11] [12] [17] [23] [27] [28]
24	Nico Roos	[24]
25	Sven Van Segbroeck	[27]
26	Sandip Sen	[18]
27	Wouter Souffriau	[29]
28	Kris Steenhaut	[9]
29	Klaas Thoelen	[31]
30	Karl Tuyls	[7] [8] [12] [13] [14] [15] [18] [19] [21] [24] [25] [30]
31	Koen Vangheluwe	[29] [31]
32	Peter Vrancx	[10] [16] [20] [22] [26]