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» Efficient Approximation of Optimal Control for Markov Games
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ICML
2009
IEEE
15 years 10 months ago
Robot trajectory optimization using approximate inference
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
Marc Toussaint
84
Voted
TIT
2010
115views Education» more  TIT 2010»
14 years 4 months ago
On resource allocation in fading multiple-access channels-an efficient approximate projection approach
We consider the problem of rate and power allocation in a multiple-access channel. Our objective is to obtain rate and power allocation policies that maximize a general concave ut...
Ali ParandehGheibi, Atilla Eryilmaz, Asuman E. Ozd...
ECCV
2008
Springer
15 years 11 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
AAMAS
2010
Springer
14 years 9 months ago
Coordinated learning in multiagent MDPs with infinite state-space
Abstract In this paper we address the problem of simultaneous learning and coordination in multiagent Markov decision problems (MMDPs) with infinite state-spaces. We separate this ...
Francisco S. Melo, M. Isabel Ribeiro
TWC
2008
150views more  TWC 2008»
14 years 9 months ago
Convex approximation techniques for joint multiuser downlink beamforming and admission control
Multiuser downlink beamforming under quality of service (QoS) constraints has attracted considerable interest in recent years, because it is particularly appealing from a network o...
Evaggelia Matskani, Nicholas D. Sidiropoulos, Zhi-...