Experimenting with Sparse Q

Realized that sparsely initializing Q made it possible for the learning
rules to make it blow up. Many different changes, including changing
eta, the sparseness of Q and other variables did not stop Q from blowing
up. Normalizing it after every iteration was the only way to prevent
this.
Simplifying Normalization