What is reward shaping?
An example of an AI chatbot conversation about reward shaping in reinforcement learning.
Can you explain what reward shaping is in reinforcement learning?
Sure! Reward shaping is a technique used to provide additional feedback to an agent to help it learn more effectively.
How does it improve the learning process?
It guides the agent by modifying the reward signal, making it easier to learn complex tasks by providing intermediate rewards.
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.
Can you give an example of reward shaping in action?
Certainly! In a maze-solving task, giving small rewards for moving closer to the goal can help the agent learn the optimal path faster.
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