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ICGA
2006
83views Optimization» more  ICGA 2006»
13 years 7 months ago
A Tool for the Direct Assessment of Poker Decisions
The element of luck permeates every aspect of the game of poker. Random stochastic outcomes introduce a large amount of noise that can make it very difficult to distinguish a good...
Darse Billings, Morgan Kan
AI
2002
Springer
13 years 7 months ago
Multiagent learning using a variable learning rate
Learning to act in a multiagent environment is a difficult problem since the normal definition of an optimal policy no longer applies. The optimal policy at any moment depends on ...
Michael H. Bowling, Manuela M. Veloso

Lab
652views
15 years 6 months ago
Electronic Enterprises Laboratory
Our research is motivated by a strong conviction that business processes in electronic enterprises can be designed to deliver high levels of performance through the use of mathemat...
JMLR
2010
103views more  JMLR 2010»
13 years 2 months ago
Regret Bounds and Minimax Policies under Partial Monitoring
This work deals with four classical prediction settings, namely full information, bandit, label efficient and bandit label efficient as well as four different notions of regret: p...
Jean-Yves Audibert, Sébastien Bubeck
INFOCOM
2010
IEEE
13 years 6 months ago
Wireless Network Virtualization as A Sequential Auction Game
—We propose a virtualization framework to separate the network operator (NO) who focuses on wireless resource management and service providers (SP) who target distinct objectives...
Fangwen Fu, Ulas C. Kozat