Pure reinforcement learning makes it difficult to limit exploration in practice and provide very strong guarantees in real-world settings.

“I think that the actual real-world complexity of needing to have either first of all not allowing too much exploration in the practical sense,”

“but also to give really, really hard guarantees becomes difficult to do in like pure reinforcement learning.”