STAT 234 - Sequential Decision Making Learning Course

[STAT 234 - Sequential Decision Making Learning Course] STAT 234 - Sequential Decision Making STAT 234 explores statistical methods and decision theory principles applied to sequential decision-making processes under uncertainty. The course covers topics such as Markov decision processes, dynamic programming, reinforcement learning, and Bayesian decision theory. Emphasis is placed on understanding how to model sequential decision problems, optimize decision strategies, and balance exploration versus exploitation. Through theoretical foundations and practical applications, students learn how to formulate decision problems, analyze decision trees, and apply algorithms to solve sequential decision problems in diverse fields such as finance, healthcare, and robotics.This Learning Course is a platform that helps students to study and learn. The platform provides all the required material for the students to study. The material includes Study guide, Exam Questions & Answers, Study Notes and other resources that are useful for the students. It also gives information about the upcoming exams so that students can prepare themselves accordingly.