1.1 - Learning by trial and error
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Practice Questions
Test your understanding with targeted questions
Define an agent in the context of reinforcement learning.
💡 Hint: Think of who is doing the learning.
What role does a reward play in reinforcement learning?
💡 Hint: Consider how we encourage good behavior.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main objective of an agent in reinforcement learning?
💡 Hint: Think about what the agent tries to achieve.
True or False: Exploration involves using only the already known rewarding actions.
💡 Hint: Consider the active behavior versus the known behavior.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Design an experiment to illustrate the exploration versus exploitation dilemma for agents. Describe the steps and expected outcomes.
💡 Hint: Consider how many times the agent repeats each action and how rewards change over time.
Analyze a scenario where an agent fails to learn effectively from trial and error. What factors might contribute to this difficulty?
💡 Hint: Think about how gradual feedback might affect learning and performance.
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Reference links
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