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- Katja Verbeeck, Ann Nowé, Johan Parent, Karl Tuyls
- Autonomous Agents and Multi-Agent Systems
- 2006

In this paper we introduce a new multi-agent reinforcement learning algorithm, called exploring selfish reinforcement learning (ESRL). ESRL allows agents to reach optimal solutions in repeated non-zero sum games with stochastic rewards, by using coordinated exploration. First, two ESRL algorithms for respectively common interest and conflicting interest… (More)

- Ann Nowé, Johan Parent, Katja Verbeeck
- ECML
- 2001

- Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, Johan Parent
- GECCO
- 2005

This paper proposes an incremental approach for building solutions using evolutionary computation. It presents a simple evolutionary model called a Transition model in which partial solutions are constructed that interact to provide larger solutions. An evolutionary process is used to merge these partial solutions into a full solution for the problem at… (More)

- Johan Parent, Ann Nowé, Kris Steenhaut, Anne Defaweux
- Congress on Evolutionary Computation
- 2005

This paper presents a modularization strategy for linear genetic programming (GP) based on a substring compression/substitution scheme. The purpose of this substitution scheme is to protect building blocks and is in other words a form of learning linkage. The compression of the genotype provides both a protection mechanism and a form of genetic code reuse.… (More)

- Katja Verbeeck, Ann Nowé, Tom Lenaerts, Johan Parent
- Australian Joint Conference on Artificial…
- 2002

- Johan Parent, Ann Nowé
- GECCO
- 2002

We present a new approach for applying genetic programming to lossless data compression. Unlike programmatic compression the evolved programs are preprocessors. These preprocessors aim at enhancing the compression rate of the given data by transforming it. The entropy based tness function is both fast and independent of the type of information being… (More)

- Andreas Birk, Thomas Walle, Tony Belpaeme, Johan Parent, Tom De Vlaminck, Holger Kenn
- RoboCup
- 1998

The paper describes the VUB AI-Lab team competing in the small robots league of RoboCup '98 in Paris. The approach of this team targets for a longterm evolution of diierent robots, team-structures, and concepts. Therefore, the eeorts for the '98 participation focus providing a exible architecture, which forms a basis for this goal. In doing so, the… (More)

- Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, Johan Parent
- Congress on Evolutionary Computation
- 2005

This paper proposes an evolutionary approach for the composition of solutions in an incremental way. The approach is based on the metaphor of transitions in complexity discussed in the context of evolutionary biology. Partially defined solutions interact and evolve into aggregations until a full solution for the problem at hand is found. The impact of the… (More)

- Katja Verbeeck, Johan Parent, Ann Nowé
- WRAC
- 2002

- Johan Parent, Katja Verbeeck, Jan Lemeire, Ann Nowé, Kris Steenhaut, Erik F. Dirkx
- Scientific Programming
- 2004

We report on the improvements that can be achieved by applying machine learning techniques, in particular reinforcement learning, for the dynamic load balancing of parallel applications. The applications being considered here are coarse grain data intensive applications. Such applications put high pressure on the interconnect of the hardware.… (More)