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A Multi-Agent Architecture Integrating Learning and Fuzzy Techniques for Landmark-Based Robot Navigation

AuthorsBusquets, Didac; López de Mántaras, Ramón CSIC ORCID ; Sierra, Carles CSIC ORCID ; Dietterich, Thomas G.
KeywordsArtificial intelligence
Machine learning
Multiagent systems
Fuzzy logics
Issue Date2002
PublisherSpringer Nature
CitationTopics 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.
AbstractThis 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.
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