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CORR
1998
Springer
164views Education» more  CORR 1998»
13 years 4 months ago
Training Reinforcement Neurocontrollers Using the Polytope Algorithm
A new training algorithm is presented for delayed reinforcement learning problems that does not assume the existence of a critic model and employs the polytope optimization algorit...
Aristidis Likas, Isaac E. Lagaris
EAAI
2008
128views more  EAAI 2008»
13 years 4 months ago
Dual heuristic programming based nonlinear optimal control for a synchronous generator
This paper presents the design of an infinite horizon nonlinear optimal neurocontroller that replaces the conventional automatic voltage regulator and the turbine governor (CONVC)...
Jung-Wook Park, Ronald G. Harley, Ganesh K. Venaya...
FLAIRS
2004
13 years 6 months ago
Blind Data Classification Using Hyper-Dimensional Convex Polytopes
A blind classification algorithm is presented that uses hyperdimensional geometric algorithms to locate a hypothesis, in the form of a convex polytope or hyper-sphere. The convex ...
Brent T. McBride, Gilbert L. Peterson
WSDM
2012
ACM
214views Data Mining» more  WSDM 2012»
12 years 11 days ago
Selecting actions for resource-bounded information extraction using reinforcement learning
Given a database with missing or uncertain content, our goal is to correct and fill the database by extracting specific information from a large corpus such as the Web, and to d...
Pallika H. Kanani, Andrew K. McCallum
CEC
2010
IEEE
13 years 6 months ago
Generating a novel sort algorithm using Reinforcement Programming
Abstract-- Reinforcement Programming (RP) is a new approach to automatically generating algorithms, that uses reinforcement learning techniques. This paper describes the RP approac...
Spencer K. White, Tony R. Martinez, George L. Rudo...