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» An Artificial Chemistry for Networking
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CEC
2008
IEEE
16 years 26 days ago
Creating edge detectors by evolutionary reinforcement learning
— In this article we present results from experiments where a edge detector was learned from scratch by EANT2, a method for evolutionary reinforcement learning. The detector is c...
Nils T. Siebel, Sven Grünewald, Gerald Sommer
CEC
2005
IEEE
16 years 3 hour ago
Evolving controllers for simulated car racing
AbstractThis paper describes the evolution of controllers for racing a simulated radio-controlled car around a track, modelled on a real physical track. Five different controller a...
Julius Togelius, Simon M. Lucas
EVOW
2003
Springer
15 years 11 months ago
Exploring the T-Maze: Evolving Learning-Like Robot Behaviors Using CTRNNs
Abstract. This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double ...
Jesper Blynel, Dario Floreano
IEEEICCI
2002
IEEE
15 years 11 months ago
Quasi-Morphism and Comprehensibility of Rules in Inductive Learning
We present a model of creating a hierarchical set of rules that encode generalizations and exceptions derived from induction learning. The rules use the input features directly an...
Wiphada Wettayaprasit, Chidchanok Lursinsap, Chee-...
ICAISC
2010
Springer
15 years 8 months ago
UMTS Base Station Location Planning with Invasive Weed Optimization
The problem of finding optimal locations of base stations, their pilot powers and channel assignments in UMTS mobile networks belongs to a class of NP-hard problems, and hence, me...
Rafal Zdunek, Tomasz Ignor