visualization axes now working on both viz.
Replaced the discrete-space Q-learner with a continuous space approximation using neural nets.
Removed bucketization of data, since we are no longer moving in discrete state space.
Added negative reward in case the led intensity bounaries are hit.
Tweaked to neural net further. Learning is not stable. I suspect there is overfitting issues. Regularization may be required.
Updated the CG schema -- the learning is now better.
Updated the CG schema to the new version. Added dropout and use of linear rectifier.
Updated CG schema