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Frequently Asked Questions
What is an agent in reinforcement learning?
In reinforcement learning, an agent is an entity that interacts with its environment to achieve a specific goal.
What are the important use cases of reinforcement learning?
It is widely used in autonomous driving, medical imaging, and chatbots.
Is reinforcement learning a supervised or unsupervised learning algorithm?
It is neither but rather, a third type of algorithm that works on a trial and error method.