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ATAL
2006
Springer
13 years 11 months ago
Exploring sensor networks using mobile agents
Today's wireless sensor networks have limited flexibility because their software is static. Mobile agents alleviate this problem by introducing mobile code and state. Mobile ...
Daniel Massaguer, Chien-Liang Fok, Nalini Venkatas...
ATAL
2005
Springer
14 years 1 months ago
Coordinated exploration in multi-agent reinforcement learning: an application to load-balancing
This paper is concerned with how multi-agent reinforcement learning algorithms can practically be applied to real-life problems. Recently, a new coordinated multi-agent exploratio...
Katja Verbeeck, Ann Nowé, Karl Tuyls
CIMCA
2008
IEEE
14 years 1 months ago
Tree Exploration for Bayesian RL Exploration
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
Christos Dimitrakakis
DAM
2008
69views more  DAM 2008»
13 years 7 months ago
Impact of memory size on graph exploration capability
A mobile agent (robot), modeled as a finite automaton, has to visit all nodes of a regular graph. How does the memory size of the agent (the number of states of the automaton) inf...
Pierre Fraigniaud, David Ilcinkas, Andrzej Pelc
ATAL
2003
Springer
13 years 11 months ago
An exploration of bugs and debugging in multi-agent systems
Debugging multi-agent systems, which are concurrent, distributed, and consist of complex components, is difficult, yet crucial. In earlier work we have proposed mechanisms whereby...
David Poutakidis, Lin Padgham, Michael Winikoff