Katja Verbeeck

2008
30	EE	Steven de Jong, Karl Tuyls, Katja Verbeeck: Artificial agents learning human fairness. AAMAS (2) 2008: 863-870
29	EE	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	EE	Maarten Peeters, Ville Könönen, Katja Verbeeck, Ann Nowé: A Learning Automata Approach to Multi-agent Policy Gradient Learning. KES (2) 2008: 379-390
27	EE	Maarten Peeters, Ville Könönen, Katja Verbeeck, Sven Van Segbroeck, Ann Nowé: Coordinated Exploration in Conflicting Multi-stage Games. KES (2) 2008: 391-402
26	EE	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	EE	Steven de Jong, Karl Tuyls, Katja Verbeeck: Fairness in multi-agent systems. Knowledge Eng. Review 23(2): 153-180 (2008)
2007
24	EE	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	EE	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	EE	Peter Vrancx, Katja Verbeeck, Ann Nowé: Networks of Learning Automata and Limiting Games. Adaptive Agents and Multi-Agents Systems 2007: 224-238
21	EE	H. Jaap van den Herik, Daniel Hennes, Michael Kaisers, Karl Tuyls, Katja Verbeeck: Multi-agent Learning Dynamics: A Survey. CIA 2007: 36-56
20	EE	Peter Vrancx, Katja Verbeeck, Ann Nowé: Optimal Convergence in Multi-Agent MDPs. KES (3) 2007: 107-114
19	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
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	EE	Ann Nowé, Katja Verbeeck, Maarten Peeters: Learning Automata as a Basis for Multi Agent Reinforcement Learning. EUMAS 2006
16	EE	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	EE	Katja Verbeeck, Ann Nowé, Karl Tuyls: Coordinated exploration in multi-agent reinforcement learning: an application to load-balancing. AAMAS 2005: 1105-1106
12	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
11	EE	Ann Nowé, Katja Verbeeck, Maarten Peeters: Learning Automata as a Basis for Multi Agent Reinforcement Learning. LAMAS 2005: 71-85
2004
10	EE	Ann Nowé, Katja Verbeeck, Peter Vrancx: Multi-type Ant Colony: The Edge Disjoint Paths Problem. ANTS Workshop 2004: 202-213
9	EE	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	EE	Karl Tuyls, Katja Verbeeck, Tom Lenaerts: A selection-mutation model for q-learning in multi-agent systems. AAMAS 2003: 693-700
7	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
2002
6	EE	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	EE	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	EE	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	Michael Kaisers	[21]
11	Gal A. Kaminka	[14]
12	Ville Könönen	[27] [28]
13	Bart Kuijpers	[15]
14	Jan Lemeire	[9]
15	Tom Lenaerts	[6] [8]
16	Sam Maes	[7]
17	Bernard Manderick	[15]
18	Ann Nowé	[2] [3] [4] [5] [6] [9] [10] [11] [12] [13] [14] [15] [16] [17] [19] [20] [22] [23] [26] [27] [28]
19	Sascha Ossowski	[14]
20	Johan Parent	[3] [5] [6] [9] [19]
21	Maarten Peeters	[11] [12] [17] [23] [27] [28]
22	Nico Roos	[24]
23	Sven Van Segbroeck	[27]
24	Sandip Sen	[18]
25	Wouter Souffriau	[29]
26	Kris Steenhaut	[9]
27	Karl Tuyls	[7] [8] [12] [13] [14] [15] [18] [19] [21] [24] [25] [30]
28	Koen Vangheluwe	[29]
29	Peter Vrancx	[10] [16] [20] [22] [26]

Colors in the list of coauthors