TítolA multi-agent Architecture Integrating Learning and Fuzzy Techniques for Landmark-Based Robot Navigation
Publication TypeConference Paper
Year of Publication2002
AuthorsBusquets D, de Mántaras RLópez, Sierra C, Dietterich TG
EditorM. Escrig T, Toledo F, Golobardes E
Conference NameLecture Notes in Artificial Intelligence
Volume2504
EditorSpringer-Verlag
Paginació269-281
Resum

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.