Course Description

Decision Making and Reinforcement Learning is an intermediate level course offered by Columbia University. With a rating of 4.3 stars and no reviews, this course provides a comprehensive understanding of Deep Learning, Machine Learning, and Reinforcement Learning. These skills are in high demand in the field of artificial intelligence and are essential for making informed decisions in complex environments. Taught by expert instructors from Columbia University, this course will cover the fundamentals of decision making and reinforcement learning, including the underlying principles and algorithms. Through a combination of lectures, hands-on exercises, and real-world case studies, students will learn how to apply these techniques to solve real-world problems. The course is designed for individuals with a basic understanding of machine learning and programming. By the end of the course, students will have a strong foundation in decision making and reinforcement learning and will be able to apply these skills to various applications such as robotics, game playing, and finance. The duration of the course is 1-3 months, during which