English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/2984
Title: A Multi-Agent Architecture Integrating Learning and Fuzzy Techniques for Landmark-Based Robot Navigation
Authors: Busquets, Dídac; Lopez de Mantaras, Ramon; Sierra, Carles; Dietterich, Thomas G.
Keywords: Artificial Intelligence
Machine Learning
Multiagent Systems
Fuzzy Logic
Issue Date: 2002
Publisher: Springer
Citation: Topics in Artificial Intelligence, 5th Catalonian Conference on AI, CCIA 2002 Castellón, Spain, October 2002. Proceedings. Lecture Notes in Artificial Intelligence Vol. 2504, p.p.: 269-281, Springer-Verlag, 2002.
Abstract: This paper extends a navigation system implemented as a multi-agent system (MAS). The arbitration mechanism controlling the interactions between the agents was based on manually-tuned bidding functions. A difficulty with hand-tuning is that it is hard to handle situations involving complex tradeoffs. In this paper we explore the suitability of reinforcement learning for automatically tuning agents within a MAS to optimize a complex tradeoff, namely the camera use.
Description: La publicación original está disponible en www.springerlink.com.
URI: http://hdl.handle.net/10261/2984
ISSN: 0302-9743
Appears in Collections:(IIIA) Artículos
Files in This Item:
File Description SizeFormat 
MARL.pdf234,94 kBAdobe PDFThumbnail
Show full item record

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.