What is reward function design in AI?
Reward function design is the process of defining how an AI agent should be rewarded for its actions to achieve desired outcomes.
Why is it important in machine learning?
It's crucial because it directly influences the learning process and behavior of the AI, guiding it towards optimal performance.
Can you give an example of a reward function?
Sure! In a game, a reward function might give points for winning, but penalize for losing, encouraging the AI to win more.
What challenges are there in designing reward functions?
Challenges include ensuring the reward aligns with the overall goal, avoiding unintended consequences, and balancing exploration and exploitation.
How do you test if a reward function is effective?
You can test it by evaluating the AI's performance in various scenarios and checking if it consistently achieves the desired outcomes.
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