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,

• author = "Icaro Miranda and Marcelo Ladeira and Claus Aranha",
• title = "A Comparison Study Between Deep Learning and Genetic Programming Application in Cart Pole Balancing Problem",
• booktitle = "2018 IEEE Congress on Evolutionary Computation (CEC)",
• year = "2018",
• editor = "Marley Vellasco",
• address = "Rio de Janeiro, Brazil",
• month = "8-13 " # jul,
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-1-5090-6018-4",
• DOI = "doi:10.1109/CEC.2018.8477814",
• 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.",
• notes = "WCCI2018",

}

Genetic Programming entries for Icaro Miranda Marcelo Ladeira Claus de Castro Aranha

Citations