Yes, training RL can be more resource and time-intensive compared to supervised learning. RL models need to explore and interact with many states to learn optimal strategies, making it more computationally demanding. However, RL’s advantage lies in its ability to actively explore and handle situations that haven’t been encountered before, potentially leading to more robust solutions in certain cases.