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ICMAS
1998
13 years 9 months ago
The Moving Target Function Problem in Multi-Agent Learning
We describe a framework that can be used to model and predict the behavior of MASs with learning agents. It uses a difference equation for calculating the progression of an agent&...
José M. Vidal, Edmund H. Durfee
LATA
2011
Springer
12 years 10 months ago
Classifying Regular Languages via Cascade Products of Automata
Abstract. Building on the celebrated Krohn-Rhodes Theorem we characterize classes of regular languages in terms of the cascade decompositions of minimal DFA of languages in those c...
Marcus Gelderie
SODA
2012
ACM
278views Algorithms» more  SODA 2012»
11 years 10 months ago
Beyond myopic best response (in Cournot competition)
A Nash Equilibrium is a joint strategy profile at which each agent myopically plays a best response to the other agents’ strategies, ignoring the possibility that deviating fro...
Amos Fiat, Elias Koutsoupias, Katrina Ligett, Yish...
CORR
2008
Springer
173views Education» more  CORR 2008»
13 years 8 months ago
Decomposition Principles and Online Learning in Cross-Layer Optimization for Delay-Sensitive Applications
In this paper, we propose a general cross-layer optimization framework in which we explicitly consider both the heterogeneous and dynamically changing characteristics of delay-sens...
Fangwen Fu, Mihaela van der Schaar
INFOCOM
2006
IEEE
14 years 1 months ago
To Peer or Not to Peer: Modeling the Evolution of the Internet's AS-Level Topology
— Internet connectivity at the AS level, defined in terms of pairwise logical peering relationships, is constantly evolving. This evolution is largely a response to economic, po...
Hyunseok Chang, Sugih Jamin, Walter Willinger