The speaker says the agent used statistical outlier detection to filter possible cheating solutions, treating solutions far from their peers' average as potential reward hacking.

“The more interesting one is it also trying to filter out those cheating solutions from some statistical property.”

“For example, if one solution is way too far out of the average of its peers,”

“then it will think,”

“this might have some reward hacking happening.”