2007 |
11 | 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) |
2005 |
10 | | Johan Parent,
Ann Nowé,
Anne Defaweux,
Kris Steenhaut:
Compressed Linear Genetic Programming: empirical parameter study on the Even-n-parity problem.
BNAIC 2005: 373-374 |
9 | EE | Johan Parent,
Ann Nowé,
Kris Steenhaut,
Anne Defaweux:
Linear genetic programming using a compressed genotype representation.
Congress on Evolutionary Computation 2005: 1164-1171 |
8 | EE | Anne Defaweux,
Tom Lenaerts,
Jano I. van Hemert,
Johan Parent:
Complexity transitions in evolutionary algorithms: evaluating the impact of the initial population.
Congress on Evolutionary Computation 2005: 2174-2181 |
7 | EE | Anne Defaweux,
Tom Lenaerts,
Jano I. van Hemert,
Johan Parent:
Transition models as an incremental approach for problem solving in evolutionary algorithms.
GECCO 2005: 599-606 |
2004 |
6 | 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) |
2002 |
5 | 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 |
4 | | Johan Parent,
Ann Nowé:
Evolving Compression Preprocessors With Genetic Programming.
GECCO 2002: 861-867 |
3 | EE | Katja Verbeeck,
Johan Parent,
Ann Nowé:
Homo Egualis Reinforcement Learning Agents for Load Balancing.
WRAC 2002: 81-91 |
2001 |
2 | EE | Ann Nowé,
Johan Parent,
Katja Verbeeck:
Social Agents Playing a Periodical Policy.
ECML 2001: 382-393 |
1998 |
1 | EE | Andreas Birk,
Thomas Walle,
Tony Belpaeme,
Johan Parent,
Tom De Vlaminck,
Holger Kenn:
The Small League RoboCup Team of the VUB AI-Lab.
RoboCup 1998: 410-415 |