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ATAL
2010
Springer
15 years 20 days ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
IJCNN
2008
IEEE
15 years 6 months ago
Knowledge representation and acquisition for large-scale semantic memory
Abstract—Acquisition and representation of semantic concepts is a necessary requirement for the understanding of natural languages by cognitive systems. Word games provide an int...
Julian Szymanski, Wlodzislaw Duch
ATAL
2010
Springer
15 years 20 days ago
Path disruption games
We propose Path Disruption Games (PDGs), which consider collaboration between agents attempting stop an adversary from travelling from a source node to a target node in a graph. P...
Yoram Bachrach, Ely Porat
ATAL
2009
Springer
15 years 6 months ago
Learning equilibria in repeated congestion games
While the class of congestion games has been thoroughly studied in the multi-agent systems literature, settings with incomplete information have received relatively little attenti...
Moshe Tennenholtz, Aviv Zohar
ICC
2007
IEEE
161views Communications» more  ICC 2007»
15 years 5 months ago
Optimizing Multiplayer Gaming Protocols for Heterogeneous Network Environment
— The paper is concerned with a novel adaptive game server protocol optimization to combat network latencies in the case of heterogeneous network environment. In this way, game p...
Zsolt Kenesi, Gábor Kiss, János Leve...