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FOCS
2007
IEEE
16 years 1 months ago
Approximation Algorithms for Partial-Information Based Stochastic Control with Markovian Rewards
We consider a variant of the classic multi-armed bandit problem (MAB), which we call FEEDBACK MAB, where the reward obtained by playing each of n independent arms varies according...
Sudipto Guha, Kamesh Munagala
FOCS
2004
IEEE
15 years 10 months ago
Worst-Case to Average-Case Reductions Based on Gaussian Measures
We show that finding small solutions to random modular linear equations is at least as hard as approximating several lattice problems in the worst case within a factor almost line...
Daniele Micciancio, Oded Regev
ESA
2010
Springer
207views Algorithms» more  ESA 2010»
15 years 8 months ago
Budgeted Red-Blue Median and Its Generalizations
In a Content Distribution Network application, we have a set of servers and a set of clients to be connected to the servers. Often there are a few server types and a hard budget co...
MohammadTaghi Hajiaghayi, Rohit Khandekar, Guy Kor...
IJRR
2008
139views more  IJRR 2008»
15 years 6 months ago
Learning to Control in Operational Space
One of the most general frameworks for phrasing control problems for complex, redundant robots is operational space control. However, while this framework is of essential importan...
Jan Peters, Stefan Schaal
TON
2002
99views more  TON 2002»
15 years 6 months ago
Computing shortest paths for any number of hops
In this paper we introduce and investigate a new" path optimization problem which we denote as the All Hops Optimal Path AHOP problem. The problem involves identifying, for a...
Roch Guérin, Ariel Orda