The Small League RoboCup Team of the VUB AI-Lab. - Andreas Birk 002; Thomas Walle; Tony Belpaeme; Johan Parent; Tom De Vlaminck; Holger Kenn (RoboCup, 1998)

Social Agents Playing a Periodical Policy. - Ann Nowé; Johan Parent; Katja Verbeeck (ECML, 2001)

Learning to Reach the Pareto Optimal Nash Equilibrium as a Team. - Katja Verbeeck; Ann Nowé; Tom Lenaerts; Johan Parent (Australian Joint Conference on Artificial Intelligence, 2002)

Evolving Compression Preprocessors With Genetic Programming. - Johan Parent; Ann Nowé (GECCO, 2002)

Homo Egualis Reinforcement Learning Agents for Load Balancing. - Katja Verbeeck; Johan Parent; Ann Nowé (WRAC, 2002)

Adaptive load balancing of parallel applications with multi-agent reinforcement learning on heterogeneous systems. - Johan Parent; Katja Verbeeck; Jan Lemeire; Ann Nowé; Kris Steenhaut; Erik F. Dirkx (Sci. Program., 2004)

Compressed Linear Genetic Programming: empirical parameter study on the Even-n-parity problem. - Johan Parent; Ann Nowé; Anne Defaweux; Kris Steenhaut (BNAIC, 2005)

Complexity transitions in evolutionary algorithms: evaluating the impact of the initial population. - Anne Defaweux; Tom Lenaerts; Jano I. van Hemert; Johan Parent (Congress on Evolutionary Computation, 2005)

Linear genetic programming using a compressed genotype representation. - Johan Parent; Ann Nowé; Kris Steenhaut; Anne Defaweux (Congress on Evolutionary Computation, 2005)

Transition models as an incremental approach for problem solving in evolutionary algorithms. - Anne Defaweux; Tom Lenaerts; Jano I. van Hemert; Johan Parent (GECCO, 2005)

Exploring selfish reinforcement learning in repeated games with stochastic rewards. - Katja Verbeeck; Ann Nowé; Johan Parent; Karl Tuyls (Auton. Agents Multi Agent Syst., 2007)