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|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.
|Issue Date:||2003||Citation:||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|
|Appears in Collections:||Staff Publications|
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