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» Evolving neural network ensembles for control problems
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ESANN
2004
13 years 9 months ago
High-accuracy value-function approximation with neural networks applied to the acrobot
Several reinforcement-learning techniques have already been applied to the Acrobot control problem, using linear function approximators to estimate the value function. In this pape...
Rémi Coulom
GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
14 years 28 days ago
Active Guidance for a Finless Rocket Using Neuroevolution
Finless rockets are more efficient than finned designs, but are too unstable to fly unassisted. These rockets require an active guidance system to control their orientation durin...
Faustino J. Gomez, Risto Miikkulainen
ESANN
2006
13 years 9 months ago
A Cyclostationary Neural Network model for the prediction of the NO2 concentration
Air pollution control is a major environmental concern. The quality of air is an important factor for everyday life in cities, since it affects the health of the community and dire...
Monica Bianchini, Ernesto Di Iorio, Marco Maggini,...
ATAL
2009
Springer
14 years 2 months ago
A self-organizing neural network architecture for intentional planning agents
This paper presents a model of neural network embodiment of intentions and planning mechanisms for autonomous agents. The model bridges the dichotomy of symbolic and non-symbolic ...
Budhitama Subagdja, Ah-Hwee Tan
IJCNN
2007
IEEE
14 years 2 months ago
Optimal Control of a Photovoltaic Solar Energy System with Adaptive Critics
- This paper presents an optimal energy control scheme for a grid independent photovoltaic (PV) solar system consisting of a PV array, battery energy storage, and time varying load...
Richard L. Welch, Ganesh K. Venayagamoorthy