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» On Learning Algorithms for Nash Equilibria
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ATAL
2009
Springer
15 years 6 months ago
Multiagent learning in large anonymous games
In large systems, it is important for agents to learn to act effectively, but sophisticated multi-agent learning algorithms generally do not scale. An alternative approach is to ï...
Ian A. Kash, Eric J. Friedman, Joseph Y. Halpern
ATAL
2008
Springer
15 years 1 months ago
MB-AIM-FSI: a model based framework for exploiting gradient ascent multiagent learners in strategic interactions
Future agent applications will increasingly represent human users autonomously or semi-autonomously in strategic interactions with similar entities. Hence, there is a growing need...
Doran Chakraborty, Sandip Sen
CORR
2008
Springer
172views Education» more  CORR 2008»
14 years 12 months ago
Altruism in Congestion Games
This paper studies the effects of introducing altruistic agents into atomic congestion games. Altruistic behavior is modeled by a trade-off between selfish and social objectives. ...
Martin Hoefer, Alexander Skopalik
MOBIHOC
2004
ACM
15 years 5 months ago
Market sharing games applied to content distribution in ad-hoc networks
In third generation (3G) wireless data networks, repeated requests for popular data items can exacerbate the already scarce wireless spectrum. In this paper we propose an architec...
Michel X. Goemans, Erran L. Li, Vahab S. Mirrokni,...
ESA
2007
Springer
153views Algorithms» more  ESA 2007»
15 years 3 months ago
Tradeoffs and Average-Case Equilibria in Selfish Routing
We consider the price of selfish routing in terms of tradeoffs and from an average-case perspective. Each player in a network game seeks to send a message with a certain length by...
Martin Hoefer, Alexander Souza