Integration of Genetic Programming and Reinforcement Learning for Real Robots

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{kamio:2003:gecco,

• author = "Shotaro Kamio and Hideyuki Mitsuhashi and Hitoshi Iba",
• title = "Integration of Genetic Programming and Reinforcement Learning for Real Robots",
• booktitle = "Genetic and Evolutionary Computation -- GECCO-2003",
• editor = "E. Cant{\'u}-Paz and J. A. Foster and K. Deb and D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and R. Standish and G. Kendall and S. Wilson and M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and A. C. Schultz and K. Dowsland and N. Jonoska and J. Miller",
• year = "2003",
• pages = "470--482",
• address = "Chicago",
• publisher_address = "Berlin",
• month = "12-16 " # jul,
• volume = "2723",
• series = "LNCS",
• ISBN = "3-540-40602-6",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming, Evolutionary Robotics",
• DOI = "doi:10.1007/3-540-45105-6_59",
• abstract = "We propose an integrated technique of genetic programming (GP) and reinforcement learning (RL) that allows a real robot to execute real-time learning. Our technique does not need a precise simulator because learning is done with a real robot. Moreover, our technique makes it possible to learn optimal actions in real robots. We show the result of an experiment with a real robot AIBO and represents the result which proves proposed technique performs better than traditional Q-learning method.",
• notes = "GECCO-2003. A joint meeting of the twelfth International Conference on Genetic Algorithms (ICGA-2003) and the eighth Annual Genetic Programming Conference (GP-2003)",

}

Genetic Programming entries for Shotaro Kamio Hideyuki Mitsuhashi Hitoshi Iba

Citations