TY - GEN
T1 - Adaptive learning approach of integrating evolution fuzzy-neural networks and Q-learning for mobile robots
AU - Zhon, Hong Jian
AU - Hsieh, Wei Min
AU - Leu, Yih Guang
AU - Hong, Chin Ming
PY - 2008
Y1 - 2008
N2 - In the paper, an adaptive learning approach of integrating evolution fuzzy-neural networks and Q-learning is developed so that a mobile robot can adapt itself to a real and complex environment. Specifically, based on Q-value and an evolution method that adjusts their parameter values of the fuzzy-neural networks, the mobile robot evolves better strategies to adapt to the environment. However, in most studies of evolution learning, the learning of mobile robots often requires a simulator and an enormous amount of evolution time so as to perform a task. Therefore, we are to integrate Q-learning into the evolution fuzzy-neural networks to avoid the requirement of the simulator. Experiment results of a mobile robot illustrate the performance of the proposed approach.
AB - In the paper, an adaptive learning approach of integrating evolution fuzzy-neural networks and Q-learning is developed so that a mobile robot can adapt itself to a real and complex environment. Specifically, based on Q-value and an evolution method that adjusts their parameter values of the fuzzy-neural networks, the mobile robot evolves better strategies to adapt to the environment. However, in most studies of evolution learning, the learning of mobile robots often requires a simulator and an enormous amount of evolution time so as to perform a task. Therefore, we are to integrate Q-learning into the evolution fuzzy-neural networks to avoid the requirement of the simulator. Experiment results of a mobile robot illustrate the performance of the proposed approach.
UR - https://www.scopus.com/pages/publications/55249112487
UR - https://www.scopus.com/pages/publications/55249112487#tab=citedBy
U2 - 10.1109/FUZZY.2008.4630629
DO - 10.1109/FUZZY.2008.4630629
M3 - Conference contribution
AN - SCOPUS:55249112487
SN - 9781424418190
T3 - IEEE International Conference on Fuzzy Systems
SP - 1902
EP - 1906
BT - 2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2008
Y2 - 1 June 2008 through 6 June 2008
ER -