Course Description

The Fundamentals of Reinforcement Learning course, offered by the University of Alberta in partnership with the Alberta Machine Intelligence Institute, is an intermediate-level course designed to provide students with a comprehensive understanding of the principles and applications of reinforcement learning. With a rating of 4.8 stars and over 7,000 reviews, this course has been highly praised by thousands of students. Through this course, students will gain essential skills in machine learning, reinforcement learning, machine learning algorithms, Python programming, statistical programming, computer programming, and decision making. These skills are in high demand in the rapidly growing field of artificial intelligence and will be valuable for anyone looking to enter or advance in this field. The course is designed to be completed in 1-3 months, making it a flexible option for busy professionals and students. The curriculum is structured to provide a solid foundation in the fundamentals of reinforcement learning, including topics such as Markov decision processes, dynamic programming, and temporal difference learning. Students will also have the