I'm trying to find the name for a model that is used to output a decision (maybe something like
do nothing =
1) but that can be trained with labels that contain how "correct" or "incorrect" it was. I've tried to google around and ask some friends in my machine learning class, but no one seems to have an answer.
The classic example I seem to always see is the models used in the snake game. We don't know what the right decision was per se, but we can say that if it ran into the wall, that was really wrong. Or if it got an apple and gained 50 points, then it was correct and if it got 2 apples and gained 100 points then it was even more correct, etc.
I'm looking for a network where the exact labels don't exist, but where we can penalize or reward its decisions.
I'm assuming this requires some kind of modified cost function, but I would imagine this type of network already exists. I'm hoping someone can provide me with the name for this type of network and whether or not there is a Keras frontend for something like this.