About this Course

35,634 recent views
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Intermediate Level

Probabilities & Expectations, basic linear algebra, basic calculus, Python 3.0 (at least 1 year), implementing algorithms from pseudocode

Approx. 22 hours to complete
English

Skills you will gain

  • Artificial Intelligence (AI)
  • Machine Learning
  • Reinforcement Learning
  • Function Approximation
  • Intelligent Systems
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Intermediate Level

Probabilities & Expectations, basic linear algebra, basic calculus, Python 3.0 (at least 1 year), implementing algorithms from pseudocode

Approx. 22 hours to complete
English

Offered by

Placeholder

University of Alberta

Placeholder

Alberta Machine Intelligence Institute

Syllabus - What you will learn from this course

Content RatingThumbs Up91%(4,710 ratings)
Week
1
Week 1
1 hour to complete

Welcome to the Course!

1 hour to complete
2 videos (Total 10 min), 2 readings
3 hours to complete

Monte Carlo Methods for Prediction & Control

3 hours to complete
11 videos (Total 58 min), 3 readings, 2 quizzes
Week
2
Week 2
5 hours to complete

Temporal Difference Learning Methods for Prediction

5 hours to complete
6 videos (Total 37 min), 2 readings, 2 quizzes
Week
3
Week 3
6 hours to complete

Temporal Difference Learning Methods for Control

6 hours to complete
9 videos (Total 30 min), 3 readings, 2 quizzes
Week
4
Week 4
7 hours to complete

Planning, Learning & Acting

7 hours to complete
11 videos (Total 47 min), 4 readings, 2 quizzes

Reviews

TOP REVIEWS FROM SAMPLE-BASED LEARNING METHODS

View all reviews

About the Reinforcement Learning Specialization

Reinforcement Learning

Frequently Asked Questions

More questions? Visit the Learner Help Center.