Johan Parent (Selection)

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11 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)

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 Johan Parent, Ann Nowé, Kris Steenhaut, Anne Defaweux: Linear genetic programming using a compressed genotype representation. Congress on Evolutionary Computation 2005: 1164-1171

6 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)

5 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 Katja Verbeeck, Johan Parent, Ann Nowé: Homo Egualis Reinforcement Learning Agents for Load Balancing. WRAC 2002: 81-91

2 Ann Nowé, Johan Parent, Katja Verbeeck: Social Agents Playing a Periodical Policy. ECML 2001: 382-393

Selection of 8 from 11 records - Johan Parent has 14 coauthors

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11		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)
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		Johan Parent, Ann Nowé, Kris Steenhaut, Anne Defaweux: Linear genetic programming using a compressed genotype representation. Congress on Evolutionary Computation 2005: 1164-1171
6		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)
5		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		Katja Verbeeck, Johan Parent, Ann Nowé: Homo Egualis Reinforcement Learning Agents for Load Balancing. WRAC 2002: 81-91
2		Ann Nowé, Johan Parent, Katja Verbeeck: Social Agents Playing a Periodical Policy. ECML 2001: 382-393