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IJCNN
2006
IEEE
14 years 1 months ago
Learning a Rendezvous Task with Dynamic Joint Action Perception
Abstract— Groups of reinforcement learning agents interacting in a common environment often fail to learn optimal behaviors. Poor performance is particularly common in environmen...
Nancy Fulda, Dan Ventura
AAMAS
2005
Springer
13 years 7 months ago
Cooperative Multi-Agent Learning: The State of the Art
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
Liviu Panait, Sean Luke
ATAL
2008
Springer
13 years 9 months ago
Reinforcement learning for DEC-MDPs with changing action sets and partially ordered dependencies
Decentralized Markov decision processes are frequently used to model cooperative multi-agent systems. In this paper, we identify a subclass of general DEC-MDPs that features regul...
Thomas Gabel, Martin A. Riedmiller
AIEDAM
2004
96views more  AIEDAM 2004»
13 years 7 months ago
Learning while designing
: This paper reports on preliminary results of an explorative study of a protocol analysis of team learning while designing using in-situ data. Two measurement-based frameworks are...
Gourabmoy Nath, John S. Gero
ASSETS
2007
ACM
13 years 12 months ago
SIBYLLE: a system for alternative communication adapting to the context and its user
In this paper, we describe the latest version of SIBYLLE, an AAC system that permits persons suffering from severe physical disabilities to enter text with any computer applicatio...
Tonio Wandmacher, Jean-Yves Antoine, Franck Poirie...