For questions about the sample efficiency (or inefficiency) of learning algorithms, which is the amount of experience (or data) that the learning algorithm needs in order to reach a certain level of performance. In the case of reinforcement learning, this experience is represented by (transition) tuples of the form $(s, a, r, s')$.