Practice - Receives State, takes Action, gets Reward
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
What does RL stand for?
💡 Hint: Think of the learning process that involves interactions.
What is an agent in RL?
💡 Hint: Consider who is learning in the context of RL.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main component of the RL process?
💡 Hint: Think about what elements contribute to learning in RL.
True or False: An agent aims to minimize its cumulative reward.
💡 Hint: Consider the objective of the agent in learning.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Design an RL scenario in a game of Tic-Tac-Toe where an agent learns to play optimally. Describe the states, actions, and possible rewards.
💡 Hint: Think about how the state changes after each move.
Analyze the potential downsides of using exploration-heavy strategies in RL. What could go wrong?
💡 Hint: Consider efficiency and time investment in learning.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.