Question: AI / computer science question: Q 8 : Reinforcement Learning RL 1 . What is the exploration vs . exploitation dilemma and how is it

AI/computer science question: Q8 : Reinforcement Learning RL
1. What is the exploration vs. exploitation dilemma and how is it handled in RL algorithms?
2. How do you evaluate the performance of an RL agent?
3. What are the main challenges in RL (e.g., sample efficiency, stability, exploration)?

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