Game-like simulation where an agent learns to navigate a maze through rewards and penalties.
General AI Concepts for Beginners
How AI Learns: Introduction to Machine Learning
Reinforcement Learning: Learning by Doing
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Finally, we have Reinforcement Learning. This is how we train pets or robots. Imagine a robot navigating a maze. If it hits a wall, it gets a negative signal. If it reaches the exit, it gets a positive reward. Over thousands of attempts, the robot learns which moves lead to the highest cumulative reward. It doesn't know what a maze is; it just learns the strategy that maximizes its success. This is the technology behind AlphaGo and many autonomous systems.
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