Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/43322
Title: Action Selection in Continuous State and Action Spaces by Cooperation and Competition of Extended Kohonen Maps
Authors: Low, K.H. 
Leow, W.K. 
Ang Jr., M.H. 
Keywords: Action selection
Motion control
Neural networks
Issue Date: 2003
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
URI: http://scholarbank.nus.edu.sg/handle/10635/43322
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