Please use this identifier to cite or link to this item:
|Title:||Multi-robot concurrent learning of cooperative behaviours for the tracking of multiple moving targets|
Ang Jr., M.H.
Multi-robot concurrent learning
|Source:||Liu, Z.,Ang Jr., M.H.,Seah, W.K.G. (2006). Multi-robot concurrent learning of cooperative behaviours for the tracking of multiple moving targets. International Journal of Vehicle Autonomous Systems 4 (2-4) : 196-215. ScholarBank@NUS Repository.|
|Abstract:||Reinforcement learning has been extensively studied and applied for generating cooperative behaviours in multi-robot systems. However, traditional reinforcement learning algorithms assume discrete state and action spaces with finite number of elements. This limits the learning to discrete behaviours and cannot be applied to most real multi-robot systems that inherently require appropriate combinations of different elementary behaviours. To address this problem, we design a distributed learning controller that integrates reinforcement learning with behaviour-based control networks. This learning controller can enable the robots to generate appropriate control policy without the need for human design or hardcoding. Furthermore, to address the problems in concurrent learning, we propose a distributed learning control algorithm to coordinate the concurrent learning processes. The distributed learning controller and learning control algorithm are applied to multi-robot tracking of multiple moving targets. The efficacy of our proposed scheme is shown through simulations. Copyright © 2006 Inderscience Enterprises Ltd.|
|Source Title:||International Journal of Vehicle Autonomous Systems|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 8, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.