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WINE
2010
Springer
274views Economy» more  WINE 2010»
13 years 2 months ago
Exploiting Myopic Learning
Mohamed Mostagir
ICML
2005
IEEE
14 years 5 months ago
Bayesian sparse sampling for on-line reward optimization
We present an efficient "sparse sampling" technique for approximating Bayes optimal decision making in reinforcement learning, addressing the well known exploration vers...
Tao Wang, Daniel J. Lizotte, Michael H. Bowling, D...
ICC
2007
IEEE
121views Communications» more  ICC 2007»
13 years 11 months ago
Structure and Optimality of Myopic Sensing for Opportunistic Spectrum Access
We consider opportunistic spectrum access for secondary users over multiple channels whose occupancy by primary users is modeled as discrete-time Markov processes. Due to hardware...
Qing Zhao, Bhaskar Krishnamachari
ICASSP
2009
IEEE
13 years 11 months ago
The speed of greed: Characterizing myopic gossip through network voracity
This paper analyzes the rate of convergence of greedy gossip with eavesdropping (GGE). In previous work, we proposed GGE, a fast gossip algorithm based on exploiting the broadcast...
Deniz Üstebay, Boris N. Oreshkin, Mark Coates...
IAT
2010
IEEE
13 years 2 months ago
Selecting Operator Queries Using Expected Myopic Gain
When its human operator cannot continuously supervise (much less teleoperate) an agent, the agent should be able to recognize its limitations and ask for help when it risks making...
Robert Cohn, Michael Maxim, Edmund H. Durfee, Sati...