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AAAI
2012
13 years 8 months ago
Kernel-Based Reinforcement Learning on Representative States
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
Branislav Kveton, Georgios Theocharous
TCOM
2011
151views more  TCOM 2011»
15 years 1 months ago
Multi-Mode Transmission for the MIMO Broadcast Channel with Imperfect Channel State Information
This paper proposes an adaptive multi-mode transmission strategy to improve the spectral efficiency achieved in the multiple-input multiple-output (MIMO) broadcast channel with d...
Jun Zhang, Marios Kountouris, Jeffrey G. Andrews, ...
TSP
2010
15 years 1 months ago
Analog beamforming in MIMO communications with phase shift networks and online channel estimation
In multiple-input multiple-output (MIMO) systems, the use of many radio frequency (RF) and analog-to-digital converter (ADC) chains at the receiver is costly. Analog beamformers op...
Vijay Venkateswaran, Alle-Jan van der Veen
FOCS
2007
IEEE
16 years 21 days ago
Maximizing Non-Monotone Submodular Functions
Submodular maximization generalizes many important problems including Max Cut in directed/undirected graphs and hypergraphs, certain constraint satisfaction problems and maximum f...
Uriel Feige, Vahab S. Mirrokni, Jan Vondrák
INFOCOM
2009
IEEE
16 years 1 months ago
Capacity of Arbitrary Wireless Networks
— In this work we study the problem of determining the throughput capacity of a wireless network. We propose a scheduling algorithm to achieve this capacity within an approximati...
Olga Goussevskaia, Roger Wattenhofer, Magnú...