What is the role of exploration in reinforcement learning?
a) To ensure the agent always follows the best-known policy
b) To allow the agent to try new actions and learn from them
c) To increase the loss function
d) To minimize the number of states in the environment
Answer:
b) To allow the agent to try new actions and learn from them
Explanation:
Exploration refers to the agent trying new actions that may lead to better outcomes in the future, allowing it to learn more about the environment.
Reference:
Reinforcement Learning (RL) Quiz – MCQ Questions and Answers