Final issues before presentation (to fix later)

[camille-004]

• Log "pretraining..." when win_rate = 0.0, before n_epochs == history_window_size

• Find a better way to fix repetition issue, rather than agent learning not to repeat, as this adds unnecessary training time and does not satisfy the constraints of the original problem

• More seamless ways to tune training hyperparameters

• Change maximum epsilon threshold when win rate seems to stagger (important!). If increase, this might increase accuracy but also training time by a lot.