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CCR
2008
91views more  CCR 2008»
13 years 7 months ago
Serial experiments online
Current network protocols must comply with rigid interfaces and rules of behavior to fit into well defined, vertical protocol stacks. It is difficult for network designers to offe...
Juan J. Ramos-Muñoz, Lidia Yamamoto, Christ...
PRICAI
2004
Springer
14 years 21 days ago
Power of Brute-Force Search in Strongly-Typed Inductive Functional Programming Automation
Abstract. A successful case of applying brute-force search to functional programming automation is presented and compared with a conventional genetic programming method. From the i...
Susumu Katayama
GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
14 years 1 months ago
Solving real-valued optimisation problems using cartesian genetic programming
Classical Evolutionary Programming (CEP) and Fast Evolutionary Programming (FEP) have been applied to realvalued function optimisation. Both of these techniques directly evolve th...
James Alfred Walker, Julian Francis Miller
GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
12 years 10 months ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto
ALIFE
2011
12 years 11 months ago
Interactive Evolution of Camouflage
This paper presents an abstract computation model of the evolution of camouflage in nature. The 2d model uses evolved textures for prey, a background texture representing the envi...
Craig Reynolds