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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is trial and error in reinforcement learning?
π‘ Hint: Think about how you learn from making mistakes.
Question 2
Easy
Define exploration in the context of reinforcement learning.
π‘ Hint: What do you do when you want to discover something new?
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the primary method through which agents learn in reinforcement learning?
π‘ Hint: Think about how you might learn from both successes and failures.
Question 2
True or False: Negative reinforcement always involves punishment.
π‘ Hint: Consider what negative reinforcement means in a more general sense.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Given a scenario where an agent consistently chooses the same action despite negative feedback, analyze the long-term effects on learning outcomes.
π‘ Hint: Reflect on how learning relies on being receptive to feedback.
Question 2
Propose a strategy for balancing exploration and exploitation for an agent facing significant uncertainty with high dimensional action space.
π‘ Hint: Consider how gradually focusing on past successes while still allowing for new trials might work.
Challenge and get performance evaluation