mlpack v4.0.0 Release Notes
Add Multiple Pole Balancing Environment (#1901, #1951).
Added functionality for scaling of data (#1876); see the command-line binding
mlpack_preprocess_scaleor Python binding
Add new parameter
maximum_depthto decision tree and random forest bindings (#1916).
Fix prediction output of softmax regression when test set accuracy is calculated (#1922).
Action struct in continuous RL environments now stores the action as a
Pendulum environment now checks for termination. All RL environments now have an option to terminate after a set number of time steps (no limit by default) (#1941).
Add support for probabilistic KDE (kernel density estimation) error bounds when using the Gaussian kernel (#1934).