In which of the following situations is it appropriate to use Reinforcement Learning $($RL$)$ in large environments?

Group of answer choices

When a supervised learning algorithm can be directly applied to the environment.

When only a simulation model of the environment is given, and an analytic solution is available.

When a model of the environment is unknown and an analytic solution is unavailable.

When the environment can be fully observed without any interaction.