A Comparison Study Between Deep Learning and Genetic Programming Application in Cart Pole Balancing Problem
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Miranda:2018:CEC,
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author = "Icaro Miranda and Marcelo Ladeira and Claus Aranha",
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title = "A Comparison Study Between Deep Learning and Genetic
Programming Application in Cart Pole Balancing
Problem",
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booktitle = "2018 IEEE Congress on Evolutionary Computation (CEC)",
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year = "2018",
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editor = "Marley Vellasco",
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address = "Rio de Janeiro, Brazil",
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month = "8-13 " # jul,
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-1-5090-6018-4",
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DOI = "doi:10.1109/CEC.2018.8477814",
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abstract = "This paper presents a comparative study between two
data mining techniques: Genetic Programming (GP) and
Deep Learning (DL). This comparison will be based on
the cart pole balancing problem. We also compared the
results with Q-Learning (QL), a classic algorithm that
is also used in hybridizations with GP an DL for
reinforcement learning problems. Our results presented
that GP can rival DL for this kind of problem.",
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notes = "WCCI2018",
- }
Genetic Programming entries for
Icaro Miranda
Marcelo Ladeira
Claus de Castro Aranha
Citations