43 search results - page 1 / 9 » Training Reinforcement Neurocontrollers Using the Polytope A... |
CORR
1998
Springer
14 years 10 months ago
1998
Springer
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...
EAAI
2008
14 years 10 months ago
2008
This paper presents the design of an infinite horizon nonlinear optimal neurocontroller that replaces the conventional automatic voltage regulator and the turbine governor (CONVC)...
FLAIRS
2004
14 years 12 months ago
2004
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 ...
WSDM
2012
ACM
13 years 6 months ago
2012
ACM
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...
87
Voted
CEC
2010
IEEE
14 years 11 months ago
2010
IEEE
Abstract-- Reinforcement Programming (RP) is a new approach to automatically generating algorithms, that uses reinforcement learning techniques. This paper describes the RP approac...