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ICAC
2009
IEEE
15 years 4 months 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
AAAI
1996
15 years 8 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
IJCNN
2000
IEEE
15 years 11 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
NIPS
1993
15 years 8 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 11 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 ...