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2010 – 2019
- 2015
[j11]Tony Wauters
, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe:
A learning-based optimization approach to multi-project scheduling. J. Sched. 18(1): 61-74 (2015)- 2013
- [j10]Mustafa Misir, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe:
An investigation on the generality level of selection hyper-heuristics under different empirical conditions. Appl. Soft Comput. 13(7): 3335-3353 (2013) - [j9]Mustafa Misir, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe:
A new hyper-heuristic as a general problem solver: an implementation in HyFlex. J. Sched. 16(3): 291-311 (2013) - [c32]Joris Maervoet, Pascal Brackman, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe:
Tour Suggestion for Outdoor Activities. W2GIS 2013: 54-63 - [p1]Tony Wauters, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe:
Boosting Metaheuristic Search Using Reinforcement Learning. Hybrid Metaheuristics 2013: 433-452 - 2012
- [j8]Tony Wauters, Katja Verbeeck, Paul Verstraete, Greet Vanden Berghe, Patrick De Causmaecker:
Real-world production scheduling for the food industry: An integrated approach. Eng. Appl. Artif. Intell. 25(2): 222-228 (2012) - [c31]Tony Wauters, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe:
Fast Permutation Learning. LION 2012: 292-306 - [c30]Mustafa Misir, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe:
An Intelligent Hyper-Heuristic Framework for CHeSC 2011. LION 2012: 461-466 - [c29]Mustafa Misir, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe:
The Effect of the Set of Low-Level Heuristics on the Performance of Selection Hyper-heuristics. PPSN (2) 2012: 408-417 - 2011
- [j7]Tony Wauters, Katja Verbeeck, Greet Vanden Berghe, Patrick De Causmaecker:
Learning agents for the multi-mode project scheduling problem. J. Oper. Res. Soc. 62(2): 281-290 (2011) - 2010
- [j6]Peter Vrancx, Katja Verbeeck, Ann Nowé:
Analyzing the dynamics of stigmergetic interactions through pheromone games. Theor. Comput. Sci. 411(21): 2116-2126 (2010) - [c28]Tony Wauters, Katja Verbeeck, Greet Vanden Berghe, Patrick De Causmaecker:
A game theoretic approach to decentralized multi-project scheduling. AAMAS 2010: 1415-1416 - [c27]Peter Vrancx, Katja Verbeeck, Ann Nowé:
Taking turns in general sum Markov games. AAMAS 2010: 1439-1440 - [c26]Mustafa Misir, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe:
Hyper-heuristics with a dynamic heuristic set for the home care scheduling problem. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2009
- [c25]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
- [j5]Steven de Jong, Karl Tuyls, Katja Verbeeck:
Fairness in multi-agent systems. Knowl. Eng. Rev. 23(2): 153-180 (2008) - [j4]Peter Vrancx, Katja Verbeeck, Ann Nowé:
Decentralized Learning in Markov Games. IEEE Trans. Syst. Man Cybern. Part B 38(4): 976-981 (2008) - [c24]Steven de Jong, Karl Tuyls, Katja Verbeeck:
Artificial agents learning human fairness. AAMAS (2) 2008: 863-870 - [c23]Koen Vangheluwe, Wouter Souffriau, Katja Verbeeck, Patrick De Causmaecker:
Dynamic scheduling of multi-media streams in home automation systems. AAMAS (Demos) 2008: 1683-1684 - [c22]Maarten Peeters, Ville Könönen, Katja Verbeeck, Ann Nowé:
A Learning Automata Approach to Multi-agent Policy Gradient Learning. KES (2) 2008: 379-390 - [c21]Maarten Peeters, Ville Könönen, Katja Verbeeck, Sven Van Segbroeck, Ann Nowé:
Coordinated Exploration in Conflicting Multi-stage Games. KES (2) 2008: 391-402 - 2007
- [j3]Katja Verbeeck, Ann Nowé, Johan Parent, Karl Tuyls:
Exploring selfish reinforcement learning in repeated games with stochastic rewards. Auton. Agents Multi Agent Syst. 14(3): 239-269 (2007) - [c20]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 - [c19]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 - [c18]Peter Vrancx, Katja Verbeeck, Ann Nowé:
Networks of Learning Automata and Limiting Games. Adaptive Agents and Multi-Agents Systems 2007: 224-238 - [c17]H. Jaap van den Herik, Daniel Hennes, Michael Kaisers, Karl Tuyls, Katja Verbeeck:
Multi-agent Learning Dynamics: A Survey. CIA 2007: 36-56 - [c16]Peter Vrancx, Katja Verbeeck, Ann Nowé:
Optimal Convergence in Multi-Agent MDPs. KES (3) 2007: 107-114 - 2006
- [c15]Ann Nowé, Katja Verbeeck, Maarten Peeters:
Learning Automata as a Basis for Multi Agent Reinforcement Learning. EUMAS 2006 - [c14]Peter Vrancx, Katja Verbeeck, Ann Nowé:
Analyzing Stigmergetic Algorithms Through Automata Games. KDECB 2006: 145-156 - [e3]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. Lecture Notes in Computer Science 3898, Springer 2006, ISBN 3-540-33053-4 [contents] - 2005
- [c13]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 - [c12]Katja Verbeeck, Ann Nowé, Karl Tuyls:
Coordinated exploration in multi-agent reinforcement learning: an application to load-balancing. AAMAS 2005: 1105-1106 - [c11]Ann Nowé, Katja Verbeeck, Maarten Peeters:
Learning Automata as a Basis for Multi Agent Reinforcement Learning. LAMAS 2005: 71-85 - [e2]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 [contents] - [e1]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 [contents] - 2004
- [j2]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. Sci. Program. 12(2): 71-79 (2004) - [c10]Maarten Peeters, Katja Verbeeck, Ann Nowé:
Multi-Agent Learning in Conflicting Multi-Level Games with Incomplete Information. AAAI Technical Report (2) 2004: 73-80 - [c9]Ann Nowé, Katja Verbeeck, Peter Vrancx:
Multi-type Ant Colony: The Edge Disjoint Paths Problem. ANTS Workshop 2004: 202-213 - 2003
- [c8]Karl Tuyls, Katja Verbeeck, Tom Lenaerts:
A selection-mutation model for q-learning in multi-agent systems. AAMAS 2003: 693-700 - [c7]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
- [j1]Katja Verbeeck, Ann Nowé:
Colonies of learning automata. IEEE Trans. Syst. Man Cybern. Part B 32(6): 772-780 (2002) - [c6]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 - [c5]Katja Verbeeck, Johan Parent, Ann Nowé:
Homo Egualis Reinforcement Learning Agents for Load Balancing. WRAC 2002: 81-91 - 2001
- [c4]Ann Nowé, Johan Parent, Katja Verbeeck:
Social Agents Playing a Periodical Policy. ECML 2001: 382-393
1990 – 1999
- 1999
- [c3]Ann Nowé, Katja Verbeeck:
Formalizing the Ant Algorithms in Terms of Reinforcement Learning. ECAL 1999: 616-620 - [c2]Viviane Jonckers, Bruno Van Damme, Katja Verbeeck:
Factorisation of OMT Models. ICEIS 1999: 775 - 1998
- [c1]Ann Nowé, Kris Steenhaut, Mohamed Fakir, Katja Verbeeck:
Q-learning for adaptive load based routing. SMC 1998: 3965-3970
Coauthor Index
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