Computer scienceData scienceMachine learningIntroduction to machine learning

Introduction to machine learning

The RL peek

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Without going into too much detail, which of the following statements correctly describe some aspects of reinforcement learning (RL)?

Hint

Carefully review the Reinforcement learning section of the theory. Additionally, think about whether there are labels in the RL setting, or whether it is an unsupervised problem that maximizes some objective, instead of doing a direct label comparison.

Select one or more options from the list

RL agents only follow a predefined set of steps to take and do not make any dynamic adjustments

Just like in unsupervised learning, RL does not require labeled data

RL is based on having an agent that interacts with the environment by taking an action and receiving some reward

RL problems are usually formulated in terms of maximizing a reward from a set of actions

Just like in supervised learning, RL requires the ground truth labels

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