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» Incremental Learning in Inductive Programming
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SCAI
2001
15 years 1 months ago
A Step Towards Incremental On-Board Evolutionary Robotics
We apply evolutionary algorithm (EA) to the design of controller for adaptive robots. EAs can be successful for more complicated tasks, where traditional engineering methods strugg...
Pavel Petrovic
IJCAI
1993
15 years 1 months ago
Multiple Predicate Learning
We study multiple predicate learning in an empirical setting. Problems with existing inductive logic programming approaches in this setting are sketched and an empirical ILP syste...
Luc De Raedt, Nada Lavrac, Saso Dzeroski
ACMSE
2010
ACM
14 years 9 months ago
Generating three binary addition algorithms using reinforcement programming
Reinforcement Programming (RP) is a new technique for automatically generating a computer program using reinforcement learning methods. This paper describes how RP learned to gene...
Spencer K. White, Tony R. Martinez, George L. Rudo...
SWAP
2008
15 years 1 months ago
Learning SHIQ+log Rules for Ontology Evolution
The definition of new concepts or roles for which extensional knowledge become available can turn out to be necessary to make a DL ontology evolve. In this paper we reformulate thi...
Francesca A. Lisi, Floriana Esposito
JCP
2007
143views more  JCP 2007»
14 years 11 months ago
Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization
Abstract— We describe a general method to transform a non-Markovian sequential decision problem into a supervised learning problem using a K-bestpaths algorithm. We consider an a...
Nicolas Chapados, Yoshua Bengio