Practice - Softmax
Practice Questions
Test your understanding with targeted questions
What does the softmax function do?
💡 Hint: Think about how it selects actions based on their expected rewards.
What are the two main strategies in the exploration vs exploitation trade-off?
💡 Hint: Remember that one is about trying new actions.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary function of softmax in reinforcement learning?
💡 Hint: Consider what the function needs to achieve.
True or False: A low temperature in softmax results in higher exploration.
💡 Hint: Remember the behavior of the softmax function at different temperatures.
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Challenge Problems
Push your limits with advanced challenges
Given the Q-values [0.1, 0.4, 0.2] at a temperature of 0.5, calculate the resultant probabilities using softmax.
💡 Hint: Remember: exponentiate each normalized Q-value, not just the raw Q-values.
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.
💡 Hint: Balance is essential; think about what happens if the agent only exploits.
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Reference links
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