Please use this identifier to cite or link to this item:
|Title:||Action Selection in Continuous State and Action Spaces by Cooperation and Competition of Extended Kohonen Maps|
|Authors:||Low, K.H. |
Ang Jr., M.H.
|Source:||Low, K.H.,Leow, W.K.,Ang Jr., M.H. (2003). Action Selection in Continuous State and Action Spaces by Cooperation and Competition of Extended Kohonen Maps. Proceedings of the Interantional Conference on Autonomous Agents 2 : 1056-1057. ScholarBank@NUS Repository.|
|Abstract:||This paper presents an action selection framework based on an assemblage of self-organizing neural networks called Cooperative Extended Kohonen Maps. This framework encapsulates two features that significantly enhance a robot's action selection capability: self-organization in the continuous state and action spaces to provide smooth, efficient and fine motion control; action selection via the cooperation and competition of Extended Kohonen Maps to achieve more complex motion tasks. Qualitative tests demonstrate the capability of our action selection method for both single-and multi-robot motion tasks.|
|Source Title:||Proceedings of the Interantional Conference on Autonomous Agents|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 9, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.