New answers tagged

0

To my knowledge, there does not exist anything along the lines of model-based reinforcement learning with time-sensitive data. I think the best chance you have is to try to abstract the data that you have into a model which is not time-sensitive. What would happen when you get past the timestamps of your original data? I am guessing that when testing this ...


0

One kind of system you could look into are Echo State Networks (ESNs). They are relatively cheap to train and can learn to predict output signals to an arbitrary degree of precision. All you need to train the system is some labeled training data. Thus, if you have a sequence of measurements/feature values and the corresponding sequence of class labels, you ...


Top 50 recent answers are included