Technical Note: \cal Q-Learning
Machine Learning
Learning to Predict by the Methods of Temporal Differences
Machine Learning
Q-Learning with Hidden-Unit Restarting
Advances in Neural Information Processing Systems 5, [NIPS Conference]
Learning to act using real-time dynamic programming
Artificial Intelligence
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Most common applications using neural networks for control problems are the automatic controls using the artificial perceptual function. These control mechanisms are similar to those of the intelligent and pattern recognition control of an adaptive method frequently performed by the animate nature. Many automated buildings are using HVAC(Heating Ventilating and Air Conditioning) by PI that has simple and solid characteristics. However, to keep up good performance, proper tuning and re-tuning are necessary.In this paper, as the one of method to solve the above problems and improve control performance of controller, using reinforcement learning method for the one of neural network learning method(supervised/unsupervised/reinforcement learning), reinforcement learning controller is proposed and the validity will be evaluated under the real operating condition of AHU(Air Handling Unit) in the environment chamber.