Question Save brain based on Std. of Reward

I'm trying to apply a previous NN to a problem that is scaled up. I keep seeing that at certain runs the agent behaves as expected, but sometimes it either gets too much or too little reward. I'd like to see what the agent is doing during those runs so I wanted to know if there is a way to make a checkpoint when the std is too large or too little?