No, this is false. Reinforcement learning also uses a dataset, it's just not an enumerable dataset. The dataset it is trained on comes from the Bellman Backup e

No, this is false. Reinforcement learning also uses a dataset, it's just not an enumerable dataset. The dataset it is trained on comes from the Bellman Backup equation (or variants, including DL variants) being run against a simulation (which is an unenumerable dataset). The reward model can only make a prediction against the state and observe the actual reward output and backpropagate the error differential. This is the way all DL works, as function and dataset approximators. It is not trivializing the field.