What is reward shaping in AI?
An example of an AI chatbot conversation about reward shaping in AI systems.
What is reward shaping in AI?
Reward shaping is a technique used in reinforcement learning to guide an agent's learning process by modifying the reward signal.
Can you give me an example of reward shaping?
Sure! For instance, in a maze-solving task, you might give small rewards for moving closer to the exit, rather than just rewarding the exit.
How does it help in training AI models?
It helps by providing more informative feedback, which can accelerate learning and improve the agent's performance in complex environments.
Are there any risks associated with reward shaping?
Yes, if not done carefully, it can lead to unintended behaviors or suboptimal policies, as the agent may exploit the shaped rewards.
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