What is the primary objective of Reinforcement Learning?

• To classify data into categories

• To maximize cumulative rewards through interactions with an environment

• To reduce dimensionality of data

• To identify patterns in static datasets

In the context of RL, what is an 'agent'?

• The individual making decisions

• The system or object being controlled

• A source of rewards

• A collection of actions

What does a 'state' represent in an RL environment?

• The action taken by the agent

• The outcome of a previous action

• The current situation of the environment

• The reward received after an action

Which of the following refers to the process of choosing between exploiting known actions and exploring new ones?

• Learning rate

• Exploitation

• Exploration-Exploitation Trade-off

• Value function

What is Q-Learning primarily considered?

• A supervised learning approach

• A model-based RL algorithm

• A model-free algorithm

• A classification algorithm

True or False: Reinforcement learning can be effectively used in healthcare for optimizing treatment plans.

• True

• False

True or False: In RL, the value function determines the best action to take in a given state.

• True

• False

True or False: The more an agent explores, the more it learns about the benefits of new actions.

• True

• False

True or False: Ethical concerns are irrelevant when implementing RL algorithms in healthcare.

• True

• False

True or False: Proximal Policy Optimization (PPO) is a type of algorithm used in reinforcement learning.

• True

• False