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CORR
2010
Springer
105views Education» more  CORR 2010»
15 years 4 months ago
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
Sarah Filippi, Olivier Cappé, Aurelien Gari...
171
Voted
SSS
2010
Springer
125views Control Systems» more  SSS 2010»
15 years 3 months ago
Systematic Correct Construction of Self-stabilizing Systems: A Case Study
Design and implementation of distributed algorithms often involve many subtleties due to their complex structure, non-determinism, and low atomicity as well as occurrence of unanti...
Ananda Basu, Borzoo Bonakdarpour, Marius Bozga, Jo...
ICASSP
2009
IEEE
15 years 3 months ago
Weighted nonnegative matrix factorization
Nonnegative matrix factorization (NMF) is a widely-used method for low-rank approximation (LRA) of a nonnegative matrix (matrix with only nonnegative entries), where nonnegativity...
Yong-Deok Kim, Seungjin Choi
CORR
2011
Springer
177views Education» more  CORR 2011»
15 years 1 months ago
A Truthful Randomized Mechanism for Combinatorial Public Projects via Convex Optimization
In Combinatorial Public Projects, there is a set of projects that may be undertaken, and a set of selfinterested players with a stake in the set of projects chosen. A public plann...
Shaddin Dughmi
TSP
2010
15 years 21 days ago
MIMO cognitive radio: a game theoretical approach
Abstract--The concept of cognitive radio (CR) has recently received great attention from the research community as a promising paradigm to achieve efficient use of the frequency re...
Gesualdo Scutari, Daniel Pérez Palomar