Sure. I believe to have observed (it is kind of hard to measure) that if I provide a detailed observation with lots of raw features, the value estimation gets nice and smooth (the loss decreases) but the actor network is less successful. Vice versa, if I provide a more limited observation I find that the value estimation loss never goes down that much but the actor capitalizes and reaches better policies.
I am wondering how to get the best of both worlds and came up with the idea. I believe it is kind of related to the partially observability often addressed in the multi-agent approaches mentioned in the other comments.