Run supervised learning to get a reward model with uncertainty

[jezgillen]

• Separate model (same architecture) that's fine tuned to output "true" rewards (or maybe distribution of probabilities, e.g. beta distribution), using supervised learning from labelled datasets.
• Adjust the quantilizer function to allow for this (inc. do maths)