Python implementation of Dayan & Kakade, 2002.
Two major components of the implementation.
- Relationship between Kalman filter (specifically the mean covariance matrix) and the whitening filter for the input correlation matrix. See this notebook.
- Augmented delta rule for training feedforward weights in a recurrent network based on Kalman gain matrix. See this notebook.