Katja Verbeeck

47 papers A 4B 2C 3Journal 11Unranked 24

Year	Rank	Type	Title / Venue / Authors
2015	J	`jnl`	A learning-based optimization approach to multi-project scheduling. J. Sched. Tony Wauters, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe
2013	J	`jnl`	A new hyper-heuristic as a general problem solver: an implementation in HyFlex. J. Sched. Mustafa Misir, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe
2013	J	`jnl`	An investigation on the generality level of selection hyper-heuristics under different empirical conditions. Appl. Soft Comput. Mustafa Misir, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe
2013	—	`ch.`	Boosting Metaheuristic Search Using Reinforcement Learning. Hybrid Metaheuristics Tony Wauters, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe
2013	C	`conf`	Tour Suggestion for Outdoor Activities. W2GIS Joris Maervoet, Pascal Brackman, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe
2012	—	`conf`	An Intelligent Hyper-Heuristic Framework for CHeSC 2011. LION Mustafa Misir, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe
2012	—	`conf`	Fast Permutation Learning. LION Tony Wauters, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe
2012	J	`jnl`	Real-world production scheduling for the food industry: An integrated approach. Eng. Appl. Artif. Intell. Tony Wauters, Katja Verbeeck, Paul Verstraete, Greet Vanden Berghe, Patrick De Causmaecker
2012	—	`conf`	The Effect of the Set of Low-Level Heuristics on the Performance of Selection Hyper-heuristics. PPSN (2) Mustafa Misir, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe
2011	J	`jnl`	Learning agents for the multi-mode project scheduling problem. J. Oper. Res. Soc. Tony Wauters, Katja Verbeeck, Greet Vanden Berghe, Patrick De Causmaecker
2010	A	`conf`	A game theoretic approach to decentralized multi-project scheduling. AAMAS Tony Wauters, Katja Verbeeck, Greet Vanden Berghe, Patrick De Causmaecker
2010	J	`jnl`	Analyzing the dynamics of stigmergetic interactions through pheromone games. Theor. Comput. Sci. Peter Vrancx, Katja Verbeeck, Ann Nowé
2010	B	`conf`	Hyper-heuristics with a dynamic heuristic set for the home care scheduling problem. IEEE Congress on Evolutionary Computation Mustafa Misir, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe
2010	A	`conf`	Taking turns in general sum Markov games. AAMAS Peter Vrancx, Katja Verbeeck, Ann Nowé
2009	—	`conf`	A sensor middleware and agent-based communication platform for supply-chain management. AAMAS (2) Klaas Thoelen, Sam Michiels, Wouter Joosen, Koen Vangheluwe, Katja Verbeeck
2008	—	`conf`	A Learning Automata Approach to Multi-agent Policy Gradient Learning. KES (2) Maarten Peeters, Ville Könönen, Katja Verbeeck, Ann Nowé
2008	—	`conf`	Artificial agents learning human fairness. AAMAS (2) Steven de Jong, Karl Tuyls, Katja Verbeeck
2008	—	`conf`	Coordinated Exploration in Conflicting Multi-stage Games. KES (2) Maarten Peeters, Ville Könönen, Katja Verbeeck, Sven Van Segbroeck, Ann Nowé
2008	J	`jnl`	Decentralized Learning in Markov Games. IEEE Trans. Syst. Man Cybern. Part B Peter Vrancx, Katja Verbeeck, Ann Nowé
2008	—	`conf`	Dynamic scheduling of multi-media streams in home automation systems. AAMAS (Demos) Koen Vangheluwe, Wouter Souffriau, Katja Verbeeck, Patrick De Causmaecker
2008	J	`jnl`	Fairness in multi-agent systems. Knowl. Eng. Rev. Steven de Jong, Karl Tuyls, Katja Verbeeck
2007	J	`jnl`	Exploring selfish reinforcement learning in repeated games with stochastic rewards. Auton. Agents Multi Agent Syst. Katja Verbeeck, Ann Nowé, Johan Parent, Karl Tuyls
2007	—	`conf`	Multi-agent Learning Dynamics: A Survey. CIA H. Jaap van den Herik, Daniel Hennes, Michael Kaisers, Karl Tuyls, Katja Verbeeck
2007	—	`conf`	Networks of Learning Automata and Limiting Games. Adaptive Agents and Multi-Agents Systems Peter Vrancx, Katja Verbeeck, Ann Nowé
2007	—	`conf`	Optimal Convergence in Multi-Agent MDPs. KES (3) Peter Vrancx, Katja Verbeeck, Ann Nowé
2007	—	`conf`	Priority Awareness: Towards a Computational Model of Human Fairness for Multi-agent Systems. Adaptive Agents and Multi-Agents Systems Steven de Jong, Karl Tuyls, Katja Verbeeck, Nico Roos
2007	—	`conf`	Solving Multi-stage Games with Hierarchical Learning Automata That Bootstrap. Adaptive Agents and Multi-Agents Systems Maarten Peeters, Katja Verbeeck, Ann Nowé
2006	—	`conf`	Analyzing Stigmergetic Algorithms Through Automata Games. KDECB Peter Vrancx, Katja Verbeeck, Ann Nowé
2006	C	`conf`	Learning Automata as a Basis for Multi Agent Reinforcement Learning. EUMAS Ann Nowé, Katja Verbeeck, Maarten Peeters
2006	—	`ed.`	Learning and Adaption in Multi-Agent Systems, First International Workshop, LAMAS 2005, Utrecht, The Netherlands, July 25, 2005, Revised Selected Papers LAMAS Karl Tuyls, Pieter Jan't Hoen, Katja Verbeeck, Sandip Sen
2005	—	`ed.`	BNAIC 2005 - Proceedings of the Seventeenth Belgium-Netherlands Conference on Artificial Intelligence, Brussels, Belgium, October 17-18, 2005 BNAIC Katja Verbeeck, Karl Tuyls, Ann Nowé, Bernard Manderick, Bart Kuijpers
2005	A	`conf`	Coordinated exploration in multi-agent reinforcement learning: an application to load-balancing. AAMAS Katja Verbeeck, Ann Nowé, Karl Tuyls
2005	C	`ed.`	EUMAS 2005 - Proceedings of the Third European Workshop on Multi-Agent Systems, Brussels, Belgium, December 7-8, 2005 EUMAS Marie-Pierre Gleizes, Gal A. Kaminka, Ann Nowé, Sascha Ossowski, Karl Tuyls, Katja Verbeeck
2005	—	`conf`	Learning Automata as a Basis for Multi Agent Reinforcement Learning. LAMAS Ann Nowé, Katja Verbeeck, Maarten Peeters
2005	—	`conf`	Multi-agent Reinforcement Learning in Stochastic Single and Multi-stage Games. Adaptive Agents and Multi-Agent Systems Katja Verbeeck, Ann Nowé, Maarten Peeters, Karl Tuyls
2004	J	`jnl`	Adaptive load balancing of parallel applications with multi-agent reinforcement learning on heterogeneous systems. Sci. Program. Johan Parent, Katja Verbeeck, Jan Lemeire, Ann Nowé, Kris Steenhaut, Erik F. Dirkx
2004	—	`conf`	Multi-Agent Learning in Conflicting Multi-Level Games with Incomplete Information. AAAI Technical Report (2) Maarten Peeters, Katja Verbeeck, Ann Nowé
2004	—	`conf`	Multi-type Ant Colony: The Edge Disjoint Paths Problem. ANTS Workshop Ann Nowé, Katja Verbeeck, Peter Vrancx
2003	A	`conf`	A selection-mutation model for q-learning in multi-agent systems. AAMAS Karl Tuyls, Katja Verbeeck, Tom Lenaerts
2003	—	`conf`	On a Dynamical Analysis of Reinforcement Learning in Games: Emergence of Occam's Razor. CEEMAS Karl Tuyls, Katja Verbeeck, Sam Maes
2002	J	`jnl`	Colonies of learning automata. IEEE Trans. Syst. Man Cybern. Part B Katja Verbeeck, Ann Nowé
2002	—	`conf`	Homo Egualis Reinforcement Learning Agents for Load Balancing. WRAC Katja Verbeeck, Johan Parent, Ann Nowé
2002	—	`conf`	Learning to Reach the Pareto Optimal Nash Equilibrium as a Team. Australian Joint Conference on Artificial Intelligence Katja Verbeeck, Ann Nowé, Tom Lenaerts, Johan Parent
2001	—	`conf`	Social Agents Playing a Periodical Policy. ECML Ann Nowé, Johan Parent, Katja Verbeeck
1999	—	`conf`	Factorisation of OMT Models. ICEIS Viviane Jonckers, Bruno Van Damme, Katja Verbeeck
1999	—	`conf`	Formalizing the Ant Algorithms in Terms of Reinforcement Learning. ECAL Ann Nowé, Katja Verbeeck
1998	B	`conf`	Q-learning for adaptive load based routing. SMC Ann Nowé, Kris Steenhaut, Mohamed Fakir, Katja Verbeeck