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» Learning Payoffs in Large Symmetric Games
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ML
2006
ACM
13 years 5 months ago
Universal parameter optimisation in games based on SPSA
Most game programs have a large number of parameters that are crucial for their performance. While tuning these parameters by hand is rather difficult, efficient and easy to use ge...
Levente Kocsis, Csaba Szepesvári
TCSV
2010
12 years 12 months ago
Cooperative Peer-to-Peer Streaming: An Evolutionary Game-Theoretic Approach
While peer-to-peer (P2P) video streaming systems have achieved promising results, they introduce a large number of unnecessary traverse links, which consequently leads to substanti...
Yan Chen, Beibei Wang, W. Sabrina Lin, Yongle Wu, ...
WCNC
2010
IEEE
13 years 9 months ago
Hedonic Coalition Formation Games for Secondary Base Station Cooperation in Cognitive Radio Networks
— In order to maintain a conflict-free environment among licensed primary users (PUs) and unlicensed secondary users (SUs) in cognitive radio networks, providing frequency and g...
Walid Saad, Zhu Han, Tamer Basar, Are Hjøru...
CORR
2011
Springer
178views Education» more  CORR 2011»
12 years 8 months ago
Online Learning: Stochastic and Constrained Adversaries
Learning theory has largely focused on two main learning scenarios. The first is the classical statistical setting where instances are drawn i.i.d. from a fixed distribution and...
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
STOC
2006
ACM
122views Algorithms» more  STOC 2006»
14 years 5 months ago
Fast convergence to Wardrop equilibria by adaptive sampling methods
We study rerouting policies in a dynamic round-based variant of a well known game theoretic traffic model due to Wardrop. Previous analyses (mostly in the context of selfish routi...
Simon Fischer, Harald Räcke, Berthold Vö...