Practice Types Of Bandits (9.9.2) - Reinforcement Learning and Bandits
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Engineering Courses
Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Certifications
Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Types of Bandits

Practice - Types of Bandits

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is a stochastic bandit?

💡 Hint: Think about what defines the rewards in a stochastic setting.

Question 2 Easy

Define exploitation in the context of bandits.

💡 Hint: Consider what it means to take the most rewarding option.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What defines a stochastic bandit?

Fixed rewards with probability distributions
Rewards that change over time
Rewards based on player skill

💡 Hint: Think of the predictability of the outcomes.

Question 2

Contextual bandits utilize what type of information?

True
False

💡 Hint: Consider how this might influence the results.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Suppose you have a multi-armed bandit problem with two stochastic arms. Arm A has a 60% chance of giving a reward of 10, and Arm B has a 40% chance of giving a reward of 20. If you use the ε-greedy strategy, what are the expected rewards after a significant number of trials?

💡 Hint: Calculate expected values based on probabilities and rewards.

Challenge 2 Hard

In a recommendation system setting, how would you implement a contextual bandit algorithm to improve user experience? List and describe the steps involved.

💡 Hint: Think about how user behavior can inform better recommendations.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.