Page 38 - AI & Machine Learning for Beginners: A Guided Workbook
P. 38
Imagine training a robot to find the exit of a maze:
• It tries different paths, learning through trial and
error.
• Moving closer to the exit earns rewards.
• Hitting walls results in penalties.
• Over time, it figures out the best route, improving its
decisions with each attempt.
Examples of Reinforcement Learning in Action
Game Playing → AI mastering chess & Go (e.g., AlphaGo).
Autonomous Driving → Self-driving cars are learning optimal
navigation.
Robotics → AI-powered robots are improving movement and
object interaction.
RL is key to AI systems that adapt and improve, making
decisions with increasing intelligence!
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