@inproceedings{035f01dd2594434c83877b272998a30d,
title = "A reinforcement-learning approach to robot navigation",
abstract = "This paper presents a reinforcement-learning approach to a navigation system which allows a goal-directed mobile robot to incrementally adapt to an unknown environment. Fuzzy rules which map current sensory inputs to appropriate actions are built through the reinforcement learning. Simulation results illustrate the performance of the proposed navigation system.",
keywords = "Navigation, Neural network, Neuro-fuzzy system, Reinforcement learning, Robot",
author = "Su, {Mu Chun} and Huang, {De Yuan} and Chou, {Chien Hsing} and Hsieh, {Chen Chiung}",
year = "2004",
language = "???core.languages.en_GB???",
isbn = "0780381939",
series = "Conference Proceeding - IEEE International Conference on Networking, Sensing and Control",
pages = "665--669",
booktitle = "Conference Proceedings - 2004 IEEE International Conference on Networking, Sensing and Control",
note = "Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control ; Conference date: 21-03-2004 Through 23-03-2004",
}