Practice Policies - 10.2.2 | Reinforcement Learning | AI Course Fundamental
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define what a policy is in reinforcement learning.

πŸ’‘ Hint: Think about how decisions are made.

Question 2

Easy

What is a deterministic policy?

πŸ’‘ Hint: Remember: fixed actions for fixed states.

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 does a policy do in reinforcement learning?

  • Maps states to actions
  • Maximizes rewards
  • Updates Q-values

πŸ’‘ Hint: Consider the fundamental function of a policy.

Question 2

True or False: A deterministic policy will always choose the same action in a given state.

  • True
  • False

πŸ’‘ Hint: Reflect on the meaning of 'deterministic'.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Consider a reinforcement learning scenario in a grid-based game. Design both deterministic and stochastic policies for moving the agent towards the goal while avoiding obstacles. Discuss the potential outcomes of each strategy.

πŸ’‘ Hint: Analyze the strengths of both approaches in navigating the grid.

Question 2

Discuss how the choice of policy type could change the training time and efficiency of an agent in a dynamic environment. Explore which factors could tip the scale toward choosing one policy over the other.

πŸ’‘ Hint: Consider the impact of uncertainty and learning curves.

Challenge and get performance evaluation