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INFORMATICALT
2002
191views more  INFORMATICALT 2002»
13 years 7 months ago
Optimal Control of a Well-Stirred Bioreactor in the Presence of Stochastic Perturbations
We study the stochastic model for bioremediation in a bioreactor with ideal mixing. The dynamics of the examined system is described by stochastic differential equations. We consid...
Vadim Azhmyakov
AUTOMATICA
2006
125views more  AUTOMATICA 2006»
13 years 8 months ago
Optimization over state feedback policies for robust control with constraints
This paper is concerned with the optimal control of linear discrete-time systems, which are subject to unknown but bounded state disturbances and mixed constraints on the state an...
Paul J. Goulart, Eric C. Kerrigan, Jan M. Maciejow...
ICIP
2000
IEEE
14 years 9 months ago
Complexity-Regularized Denoising of Poisson-Corrupted Data
In this paper, we apply the complexity?regularization principle to Poisson imaging. We formulate a natural distortion measure in image space, and present a connection between comp...
Juan Liu, Pierre Moulin
IPCO
2007
108views Optimization» more  IPCO 2007»
13 years 9 months ago
Robust Combinatorial Optimization with Exponential Scenarios
Following the well-studied two-stage optimization framework for stochastic optimization [15, 18], we study approximation algorithms for robust two-stage optimization problems with ...
Uriel Feige, Kamal Jain, Mohammad Mahdian, Vahab S...
ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
14 years 2 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...