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TSMC
2008
146views more  TSMC 2008»
15 years 3 months ago
Decentralized Learning in Markov Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
Peter Vrancx, Katja Verbeeck, Ann Nowé
INFOCOM
2011
IEEE
14 years 7 months ago
On the achievable throughput of CSMA under imperfect carrier sensing
Abstract—Recently, it has been shown that a simple, distributed CSMA algorithm is throughput-optimal. However, throughput-optimality is established under the perfect or ideal car...
Tae Hyun Kim 0001, Jian Ni, R. Srikant, Nitin H. V...
AAMAS
2007
Springer
15 years 10 months ago
Networks of Learning Automata and Limiting Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...
Peter Vrancx, Katja Verbeeck, Ann Nowé
CG
2004
Springer
15 years 7 months ago
Locally Informed Global Search for Sums of Combinatorial Games
Abstract. There are two complementary approaches to playing sums of combinatorial games. They can be characterized as local analysis and global search. Algorithms from combinatoria...
Martin Müller 0003, Zhichao Li
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
15 years 7 months ago
Robustness in cooperative coevolution
Though recent analysis of traditional cooperative coevolutionary algorithms (CCEAs) casts doubt on their suitability for static optimization tasks, our experience is that the algo...
R. Paul Wiegand, Mitchell A. Potter