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Reinforcement Learning - Interview Questions
What is your opinion on reward shaping? Is it ethical to use to teach AI agents good behavior?
Reward shaping is a technique used in reinforcement learning to encourage an AI agent to pursue a particular goal. It is accomplished by providing positive reinforcement (rewards) for actions that are closer to the desired goal, and negative reinforcement (punishments) for actions that are further from the desired goal.

There are two schools of thought when it comes to reward shaping. Some believe that it is an effective and ethical way to teach AI agents good behavior. Others believe that it is a form of cheating, and that AI agents should only be rewarded for actions that they would naturally pursue on their own.
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