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AR
2007
105views more  AR 2007»
13 years 7 months ago
Reinforcement learning of a continuous motor sequence with hidden states
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sug...
IJRR
2008
186views more  IJRR 2008»
13 years 7 months ago
Automated Design of Adaptive Controllers for Modular Robots using Reinforcement Learning
Designing distributed controllers for self-reconfiguring modular robots has been consistently challenging. We have developed a reinforcement learning approach which can be used bo...
Paulina Varshavskaya, Leslie Pack Kaelbling, Danie...
CN
2007
148views more  CN 2007»
13 years 7 months ago
Using taxonomies for content-based routing with ants
Although the ant metaphor has been successfully applied to routing of data packets both in wireless and fixed networks, little is known yet about its appropriateness for search i...
Elke Michlmayr, Arno Pany, Gerti Kappel
JSAC
2008
117views more  JSAC 2008»
13 years 7 months ago
A design framework for limited feedback MIMO systems with zero-forcing DFE
Abstract--We consider the design of multiple-input multipleoutput communication systems with a linear precoder at the transmitter, zero-forcing decision feedback equalization (ZFDF...
Michael Botros Shenouda, Timothy N. Davidson
JSAC
2006
128views more  JSAC 2006»
13 years 7 months ago
Optimized Transmission for Fading Multiple-Access and Broadcast Channels With Multiple Antennas
In mobile wireless networks, dynamic allocation of resources such as transmit powers, bit-rates, and antenna beams based on the channel state information of mobile users is known t...
Mehdi Mohseni, Rui Zhang, John M. Cioffi