Train.RNN: Train RNN
In MartinKies/RLR: Reinforcement Learning with R

Trains a RNN and prints some helpful statistics. Returns a trained model.

1	Train.RNN(model, model.par, x_train, y_train, action)

`model`	A RNN e.g. given by `Setup.RNN`
`model.par`	Parameters of RNN, e.g. given by `Get.Default.RNN`
`x_train`	A 3D array in the form c(minibatch.size, max.length.sequence, outputs)
`y_train`	In the case of !single.dimensional: A Matrix with as much columns as output parameters (e.g. action parameters). For each state (x_train)/action combination(column of y_train) this value determines the target. If single.dimensional this is a simple vector with the result and the function will build a sufficient x/y pair based on action.
`action`	Necessary if not single dimensional - actions which led to y based on x.