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» Using Learning in a Control Agent
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142
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ICAC
2009
IEEE
15 years 11 days ago
Using distributed w-learning for multi-policy optimization in decentralized autonomic systems
Distributed W-Learning (DWL) is a reinforcement learningbased algorithm for multi-policy optimization in agent-based systems. In this poster we propose the use of DWL for decentra...
Ivana Dusparic, Vinny Cahill
144
Voted
AAAI
1996
15 years 3 months ago
Building Classifiers Using Bayesian Networks
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competit...
Nir Friedman, Moisés Goldszmidt
112
Voted
IJCNN
2000
IEEE
15 years 7 months ago
On Derivation of MLP Backpropagation from the Kelley-Bryson Optimal-Control Gradient Formula and Its Application
The well-known backpropagation (BP) derivative computation process for multilayer perceptrons (MLP) learning can be viewed as a simplified version of the Kelley-Bryson gradient f...
Eiji Mizutani, Stuart E. Dreyfus, Kenichi Nishio
107
Voted
NIPS
1993
15 years 3 months ago
Computational Elements of the Adaptive Controller of the Human Arm
We consider the problem of how the CNS learns to control dynamics of a mechanical system. By using a paradigm where a subject's hand interacts with a virtual mechanical envir...
Reza Shadmehr, Ferdinando A. Mussa-Ivaldi
ICPR
2000
IEEE
15 years 7 months ago
Database Architecture for Autonomous Transportation Agents for On-Scene Networked Incident Management (ATON)
A collection of distributed databases forms an important architectural component of the ATON project for networked incidence management of highway traffic. The database sub-archit...
Mohan M. Trivedi, Shailendra K. Bhonsle, Amarnath ...