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ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
14 years 4 months ago
Least absolute policy iteration for robust value function approximation
Abstract— Least-squares policy iteration is a useful reinforcement learning method in robotics due to its computational efficiency. However, it tends to be sensitive to outliers...
Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashim...
AUTOMATICA
2007
129views more  AUTOMATICA 2007»
13 years 10 months ago
Robust control of polytopic systems by convex optimization
— Robust control synthesis of linear time-invariant SISO polytopic systems is investigated using the polynomial approach. A convex set of all stabilizing controllers for a polyto...
Alireza Karimi, Hamid Khatibi, Roland Longchamp
ICPP
2006
IEEE
14 years 4 months ago
A Stochastic Approach to Measuring the Robustness of Resource Allocations in Distributed Systems
Often, parallel and distributed computing systems must operate in an environment replete with uncertainty. Determining a resource allocation that accounts for this uncertainty in ...
Vladimir Shestak, Jay Smith, Howard Jay Siegel, An...
IPSN
2005
Springer
14 years 3 months ago
Robust computation of aggregates in wireless sensor networks: distributed randomized algorithms and analysis
A wireless sensor network consists of a large number of small, resource-constrained devices and usually operates in hostile environments that are prone to link and node failures. ...
Jen-Yeu Chen, Gopal Pandurangan, Dongyan Xu
INFOCOM
2011
IEEE
13 years 1 months ago
A robust optimization approach to backup network design with random failures
—This paper presents a scheme in which a dedicated backup network is designed to provide protection from random link failures. Upon a link failure in the primary network, traffi...
Matthew Johnston, Hyang-Won Lee, Eytan Modiano