17 search results - page 3 / 4 » Distributed learning in multi-armed bandit with multiple pla... |
COLT
2010
Springer
13 years 2 months ago
2010
Springer
Multiarmed bandit problem is a typical example of a dilemma between exploration and exploitation in reinforcement learning. This problem is expressed as a model of a gambler playi...
CORR
2011
Springer
12 years 8 months ago
2011
Springer
—The fundamental problem of multiple secondary users contending for opportunistic spectrum access over multiple channels in cognitive radio networks has been formulated recently ...
ECCV
2004
Springer
14 years 6 months ago
2004
Springer
The problem of tracking a varying number of non-rigid objects has two major difficulties. First, the observation models and target distributions can be highly non-linear and non-Ga...
SAGT
2010
Springer
13 years 3 months ago
2010
Springer
Can learning algorithms find a Nash equilibrium? This is a natural question for several reasons. Learning algorithms resemble the behavior of players in many naturally arising gam...
ATAL
2008
Springer
13 years 6 months ago
2008
Springer
Effective norms, emerging from sustained individual interactions over time, can complement societal rules and significantly enhance performance of individual agents and agent soci...