- author = "Shingo Mabu and Hiroyuki Hatakeyama and Kotaro Hirasawa and Jinglu Hu",
- title = "Genetic Network Programming with Reinforcement Learning Using Sarsa Algorithm",
- booktitle = "Proceedings of the 2006 IEEE Congress on Evolutionary Computation",
- year = "2006",
- editor = "Gary G. Yen and Lipo Wang and Piero Bonissone and Simon M. Lucas",
- pages = "1570--1576",
- address = "Vancouver",
- month = "16-21 " # jul,
- publisher = "IEEE Press",
- keywords = "genetic algorithms, genetic programming, Genetic Network Programming",
- ISBN = "0-7803-9487-9",
-
DOI = "
doi:10.1109/CEC.2006.1688346",
- size = "7 pages",
- abstract = "A new graph-based evolutionary algorithm called Genetic Network Programming (GNP) has been proposed. The solutions of GNP are represented as graph structures, which can improve the expression ability and performance. In addition, GNP with Reinforcement Learning (GNP-RL) has been proposed to search for solutions efficiently. GNP-RL can use current information and change its programs during task execution, i.e., online learning. Thus, it has an advantage over evolution-based algorithms in case much information can be obtained during task execution. GNP-RL has a special state-action space and it contributes to reducing the size of the Qtable and learning efficiently. The proposed method is applied to the controller of Khepera simulator and its performance is evaluated.",
-
notes = "WCCI 2006 - A joint meeting of the IEEE, the EPS, and
the IEE.
IEEE Catalog Number: 06TH8846D",
