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» Using Learning in a Control Agent
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144
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SOCO
2002
Springer
15 years 2 months ago
Granular neural web agents for stock prediction
A granular neural Web-based stock prediction agent is developed using the granular neural network (GNN) that can discover fuzzy rules. Stock data sets are downloaded from www.yahoo...
Yan-Qing Zhang, Somasheker Akkaladevi, George J. V...
92
Voted
ICRA
2003
IEEE
123views Robotics» more  ICRA 2003»
15 years 8 months ago
Autonomous reactive control for simulated humanoids
— We present a framework for composing motor controllers into autonomous composite reactive behaviors for bipedal robots and autonomous, physically-simulated humanoids. A key con...
Petros Faloutsos, Michiel van de Panne, Demetri Te...
142
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CEC
2008
IEEE
15 years 4 months ago
Subtree deactivation control with grammatical Genetic Programming in dynamic environments
Abstract-- We investigate the usefulness of a subtree deactivation control mechanism which is open to evolutionary learning. It is hypothesised that this representation confers an ...
Michael O'Neill, Anthony Brabazon, Erik Hemberg
111
Voted
AAAI
1998
15 years 4 months ago
Intelligent Control of Life Support Systems for Space Habitats
The Interchamber Monitoring and Control (IMC) system is semi-autonomous, intelligent software that controls life support systems designed for recycling air in remote space habitat...
Debra Schreckenghost, Daniel Ryan, Carroll Thrones...
120
Voted
IJRR
2011
126views more  IJRR 2011»
14 years 9 months ago
Optimization and learning for rough terrain legged locomotion
We present a novel approach to legged locomotion over rough terrain that is thoroughly rooted in optimization. This approach relies on a hierarchy of fast, anytime algorithms to p...
Matthew Zucker, Nathan D. Ratliff, Martin Stolle, ...