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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does the softmax function do?
π‘ Hint: Think about how it selects actions based on their expected rewards.
Question 2
Easy
What are the two main strategies in the exploration vs exploitation trade-off?
π‘ Hint: Remember that one is about trying new actions.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the primary function of softmax in reinforcement learning?
- To calculate rewards
- To convert action values to probabilities
- To explore the environment
π‘ Hint: Consider what the function needs to achieve.
Question 2
True or False: A low temperature in softmax results in higher exploration.
- True
- False
π‘ Hint: Remember the behavior of the softmax function at different temperatures.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given the Q-values [0.1, 0.4, 0.2] at a temperature of 0.5, calculate the resultant probabilities using softmax.
π‘ Hint: Remember: exponentiate each normalized Q-value, not just the raw Q-values.
Question 2
Consider a scenario where an agent is deciding between three actions with Q-values [10, 1, 0.5]. Discuss the implications of setting a low temperature value for this agent in their decision-making process.
π‘ Hint: Balance is essential; think about what happens if the agent only exploits.
Challenge and get performance evaluation