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» A framework for learning coordinated behavior
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JMLR
2006
97views more  JMLR 2006»
13 years 7 months ago
Learning Coordinate Covariances via Gradients
We introduce an algorithm that learns gradients from samples in the supervised learning framework. An error analysis is given for the convergence of the gradient estimated by the ...
Sayan Mukherjee, Ding-Xuan Zhou
IROS
2007
IEEE
164views Robotics» more  IROS 2007»
14 years 1 months ago
Emulation and behavior understanding through shared values
— Neurophysiology has revealed the existence of mirror neurons in brain of macaque monkeys and they shows similar activities during executing an observation of goal directed move...
Yasutake Takahashi, Teruyasu Kawamata, Minoru Asad...
ATAL
2000
Springer
13 years 11 months ago
An Architectural Framework for Integrated Multiagent Planning, Reacting, and Learning
Abstract. Dyna is a single-agent architectural framework that integrates learning, planning, and reacting. Well known instantiations of Dyna are Dyna-AC and Dyna-Q. Here a multiage...
Gerhard Weiß
ICDCS
2012
IEEE
11 years 9 months ago
Securing Virtual Coordinates by Enforcing Physical Laws
—Virtual coordinate systems (VCS) provide accurate estimations of latency between arbitrary hosts on a network, while conducting a small amount of actual measurements and relying...
Jeffrey Seibert, Sheila Becker, Cristina Nita-Rota...
JMLR
2006
79views more  JMLR 2006»
13 years 7 months ago
Estimation of Gradients and Coordinate Covariation in Classification
We introduce an algorithm that simultaneously estimates a classification function as well as its gradient in the supervised learning framework. The motivation for the algorithm is...
Sayan Mukherjee, Qiang Wu