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» Evolving Complex Neural Networks
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ICES
2003
Springer
125views Hardware» more  ICES 2003»
15 years 3 months ago
Evolving Reinforcement Learning-Like Abilities for Robots
Abstract. In [8] Yamauchi and Beer explored the abilities of continuous time recurrent neural networks (CTRNNs) to display reinforcementlearning like abilities. The investigated ta...
Jesper Blynel
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
15 years 4 months ago
Evolving controllers for simulated car racing using object oriented genetic programming
Several different controller representations are compared on a non-trivial problem in simulated car racing, with respect to learning speed and final fitness. The controller rep...
Alexandros Agapitos, Julian Togelius, Simon M. Luc...
INFORMATICALT
2010
91views more  INFORMATICALT 2010»
14 years 8 months ago
An Expansion of the Neural Network Theory by Introducing Hebb Postulate
In the presented paper, some issues of the fundamental classical mechanics theory in the sense of Ising physics are introduced into the applied neural network area. The expansion o...
Algis Garliauskas
FLAIRS
2006
14 years 11 months ago
An Artificial Neural Network for a Tank Targeting System
In this paper, we apply artificial neural networks to control the targeting system of a robotic tank in a tank-combat computer game (RoboCode). We suggest an algorithm that not on...
Hans W. Guesgen, Xiao Dong Shi
IJCNN
2007
IEEE
15 years 4 months ago
Evolving a Neural Net-Based Decision and Search Heuristic for DPLL SAT Solvers
— Solvers for the Boolean satisfiability problem are an important base technology for many applications. The most efficient SAT solvers for industrial applications are based on...
Raihan H. Kibria