Before revision:  It has two benefits compared to traditional off-policy RL algorithms : persistent exploration and an unbiased multi-step Q operator for TD learning .
After revision:  It has two benefits compared to traditional off-policy RL algorithms : persistent exploration and a new compare-through Q operator for TD learning .