QuizMe

* השאלה נוספה בתאריך: 01-03-2025

		Exploration vs. Exploitation: Finding the balance between trying new actions vs. optimizing known ones.
		Sample Efficiency: Many RL algorithms require millions of samples.
		Stability & Convergence: Training deep RL models can be unstable.
		Reward Shaping: Poorly designed reward functions can lead to unintended behaviors (reward hacking).

12. Common Challenges in DRL