What is the primary goal of reinforcement learning?
Practice Questions
1 question
Q1
What is the primary goal of reinforcement learning?
To classify data into categories
To predict future outcomes based on past data
To learn a policy that maximizes cumulative reward
To cluster similar data points together
Reinforcement learning focuses on learning a policy that maximizes the cumulative reward over time through interactions with the environment.
Questions & Step-by-step Solutions
1 item
Q
Q: What is the primary goal of reinforcement learning?
Solution: Reinforcement learning focuses on learning a policy that maximizes the cumulative reward over time through interactions with the environment.
Steps: 6
Step 1: Understand that reinforcement learning is a type of machine learning.
Step 2: Know that in reinforcement learning, an agent interacts with an environment.
Step 3: The agent takes actions in the environment.
Step 4: After taking an action, the agent receives feedback in the form of rewards or penalties.
Step 5: The goal of the agent is to learn a strategy, called a policy, that helps it choose actions that will lead to the most rewards over time.
Step 6: The agent aims to maximize the total rewards it receives from the environment.
