Reinforcement learning is different than unsupervised learning in terms of goals .
The goal in unsupervised learning is to find similarities and differences between data-points.
In the reinforcement learning problem, though, the goal is to find a good behaviour, an action or a label for each particular situation if you will, to maximize the long-term benefits that the agent receives.