What is 'exploration' in the context of reinforcement learning?

What is 'exploration' in the context of reinforcement learning?

Step 1: Understand that reinforcement learning is a type of machine learning where an agent learns to make decisions.
Step 2: Know that the agent can take different actions in an environment.
Step 3: Realize that some actions may lead to rewards, while others may not.
Step 4: Learn that exploration means the agent tries new actions it hasn't taken before.
Step 5: Understand that by exploring, the agent can find out which actions give the best rewards.
Step 6: Remember that exploration is important because it helps the agent learn and improve its decision-making.

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