Explain how the learning agent interacts with the environment in Reinforcement Learning.
- Through clustering
- Through combining labeled and unlabeled data
- Through labeled data
- Through rewards and penalties
The agent in Reinforcement Learning interacts with the environment through rewards and penalties, learning to take actions to achieve a goal.
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