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» On the Computational Power of Neural Nets
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GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 4 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
ATAL
2010
Springer
15 years 26 days ago
Evolving policy geometry for scalable multiagent learning
A major challenge for traditional approaches to multiagent learning is to train teams that easily scale to include additional agents. The problem is that such approaches typically...
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, ...
DAC
2009
ACM
16 years 22 days ago
O-Router:an optical routing framework for low power on-chip silicon nano-photonic integration
In this work, we present a new optical routing framework, O-Router for future low-power on-chip optical interconnect integration utilizing silicon compatible nano-photonic devices...
Duo Ding, Yilin Zhang, Haiyu Huang, Ray T. Chen, D...
ISNN
2007
Springer
15 years 5 months ago
Hybrid Systems and Artificial Immune Systems: Performances and Applications to Biomedical Research
In this paper we propose a comparative study of Artificial Neural Networks (ANN) and Artificial Immune Systems. Artificial Immune Systems (AIS) represent a novel paradigm in the fi...
Vitoantonio Bevilacqua, Cosimo G. de Musso, Filipp...
86
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ATAL
2003
Springer
15 years 5 months ago
Action selection in continuous state and action spaces by cooperation and competition of extended kohonen maps
This paper presents an action selection framework based on an assemblage of self-organizing neural networks called Cooperative Extended Kohonen Maps. This framework encapsulates t...
Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang