Combine and compare evolutionary robotics and reinforcement Learning as methods of designing autonomous robots

Abstract

The purpose of this paper is to present a comparison between two methods of building adaptive controllers for robots. In spite of the wide range of techniques which are used for defining autonomous robot architectures, few attempts have been made in comparing their performance under similar circumstances. This comparison is particularly important in… (More)
DOI: 10.1109/CEC.2007.4424651

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Cite this paper

@article{Goschin2007CombineAC, title={Combine and compare evolutionary robotics and reinforcement Learning as methods of designing autonomous robots}, author={Sergiu Goschin and Eduard Franti and Monica Dascalu and Sandra Osiceanu}, journal={2007 IEEE Congress on Evolutionary Computation}, year={2007}, pages={1511-1516} }