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ICASSP
2011
IEEE
14 years 10 months ago
Optimum multi-user detection by nonsmooth optimization
—The optimum multiuser detection (OMD) is a discrete (binary) optimization. The previously developed approaches often relax it by a semi-definite program (SDP) and then employ r...
Hoang Duong Tuan, Tran Thai Son, Hoang Tuy, Ha H. ...
MP
2008
99views more  MP 2008»
15 years 6 months ago
Efficient robust optimization for robust control with constraints
This paper proposes an efficient computational technique for the optimal control of linear discrete-time systems subject to bounded disturbances with mixed polytopic constraints o...
Paul J. Goulart, Eric C. Kerrigan, Daniel Ralph
ICALP
2009
Springer
16 years 7 months ago
The Complexity of Nash Equilibria in Simple Stochastic Multiplayer Games
We analyse the computational complexity of finding Nash equilibria in simple stochastic multiplayer games. We show that restricting the search space to equilibria whose payoffs fal...
Michael Ummels, Dominik Wojtczak
ICASSP
2009
IEEE
16 years 1 months ago
Distributed peer-to-peer beamforming for multiuser relay networks
A computationally efficient distributed beamforming technique for multi-user relay networks is developed. The channel state information is assumed to be known at the relays or de...
Haihua Chen, Alex B. Gershman, Shahram Shahbazpana...
ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
16 years 1 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...