I have read about methods that apply continual learning strategies to reinforcement learning.
Since reinforcement learning also learns step by step (i.e., task by task, in a sense) during the training phase, why isn't it itself considered a continual learning strategy?
Of course, I understand that if an agent catastrophically forgets previously learned tasks, there is a need to prevent this and therefore develop strategies to mitigate catastrophic forgetting, but my question is more about the definition. If continuous learning (or online learning) is about learning one task at a time, and RL somehow does this, why is it not considered a continual learning strategy (regardless of the fact that it may not be as effective)?
To clarify, I haven't read anywhere the claim that RL is not a CL approach, but also none that it would be. Only the fact that CL methods are proposed for RL gives me the impression that RL is not considered an approach. Nor have I seen anyone mention RL for this purpose. I'm just wondering why that is.