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» Interactive optimization in cooperative environments
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SIGCOMM
2009
ACM
14 years 3 months ago
DIRC: increasing indoor wireless capacity using directional antennas
The demand for wireless bandwidth in indoor environments such as homes and offices continues to increase rapidly. Although wireless technologies such as MIMO can reach link throug...
Xi Liu, Anmol Sheth, Michael Kaminsky, Konstantina...
EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
14 years 3 months ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...
SENSYS
2010
ACM
13 years 7 months ago
Evolution and sustainability of a wildlife monitoring sensor network
As sensor network technologies become more mature, they are increasingly being applied to a wide variety of applications, ranging from agricultural sensing to cattle, oceanic and ...
Vladimir Dyo, Stephen A. Ellwood, David W. Macdona...
ICML
2006
IEEE
14 years 10 months ago
An analytic solution to discrete Bayesian reinforcement learning
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevi...
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
14 years 3 months ago
Choice and development
The process of development creates a phenotype from one or more genotypes of an individual through interaction with an environment. The opportunity for development to choose a phe...
Arthur M. Farley