Q-learning addresses the problem that maximizing immediate reward can lead to actions that are detrimental in the long term.

“So, the problem that you run into in reinforcement learning is that you don't want to be greedy with like the immediate actions. Right, because what you do immediately could be really, really detrimental. Like let's say you you manage a warehouse and the the greedy thing to do to maximise profit right now is just sell everything in your uh in in your supply closet and never buy anything. Because then the profit is maximal. That's not necessarily long-term the right thing. So what we would need to do is we don't need to”

“look at the current reward, but we do need to look at kind of the future as well.”