|
Archivo Abierto Institucional de la Universidad Carlos III de Madrid >
Investigación >
Departamentos >
Departamento de Informática >
Grupo de Investigación en Planificación y Aprendizaje Automático (PLG) >
DI - PLG - Artículos de Revistas >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10016/13273
|
| Title: | Learning in Large Cooperative Multi-Robot Domains |
| Author(s): | Fernández, Fernando Parker, Lynne E. |
| Publisher: | Acta Press |
| Issued date: | 2001 |
| Citation: | International Journal of Robotics and Automation, special issue on Computational Intelligence Techniques in Cooperative Robots, 2001, vol. 16, n. 4, pp. 217-226 |
| URI: | http://hdl.handle.net/10016/13273 |
| ISSN: | 0826-8185 |
| Abstract: | The development of mechanisms that enable robot teams to autonomously generate cooperative behaviours is one of the most interesting issues in dis- tributed and autonomous robotic systems. In this paper, the application of reinforcement learning techniques to robot teams is studied, enabling the robot to learn cooperative behaviours based only on local information. |
| Review: | PeerReviewed |
| Keywords: | Multi-robot system Cooperative robotics |
| Rights: | © Acta Press |
| Appears in Collections: | DI - PLG - Artículos de Revistas
|
Items in E-Archivo are protected by copyright, with all rights reserved, unless otherwise indicated.
|