2.3 - Reinforcement Learning
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Practice Questions
Test your understanding with targeted questions
Define what an agent is in reinforcement learning.
💡 Hint: Think of a character in a video game.
What feedback does an agent receive in RL?
💡 Hint: Consider how players earn points or lose lives.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does an agent do in reinforcement learning?
💡 Hint: Think about how game characters score points.
True or False: Reinforcement learning uses labeled datasets.
💡 Hint: Contrast it with supervised learning.
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Challenge Problems
Push your limits with advanced challenges
Design a reinforcement learning scenario to train a robot to navigate a maze, detailing its states, actions, and potential rewards.
💡 Hint: Consider the feedback loop of actions and learning from success or failure.
Discuss how reinforcement learning can improve a game-playing AI. What metrics would you use to evaluate its performance?
💡 Hint: Think about how AIs adapt and compete against human players.
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