RLang is a formal language for specifying information about every element of a Markov Decision Process (S,A,R,T). Each RLang object refers to one or more elements of an MDP.

Here is a description of three important RLang groundings:
Policy: a direct function from states to actions, best used for more general commands.
Effect: a prediction about the state of the world or the reward function.
Plan: a sequence of one or more specific steps to take.

Your task is to decide which RLang grounding most naturally corresponds to a given piece of advice:

Advice = "Don't touch any mice unless you have gloves on."
Grounding: Effect

Advice = "Walking into lava will kill you."
Grounding: Effect

Advice = "First get the money, then go to the green square."
Grounding: Plan

Advice = "Place the money in the piggy bank."
Grounding: Plan

Advice = "Go through the door to the goal."
Grounding: Plan

Advice = "If you have the key, go to the door, otherwise you need to get the key."
Grounding: Policy

Advice = "If there are any closed doors, open them."
Grounding: Policy

Advice = "Open any doors if they are closed."
Grounding: Policy
