STAT 184 - Introduction to Reinforcement Learning Learning Course

[STAT 184 - Introduction to Reinforcement Learning Learning Course] STAT 184 - Introduction to Reinforcement Learning STAT 184 provides students with an introduction to reinforcement learning, a branch of machine learning focused on decision-making and learning through interaction with an environment. The course covers topics such as Markov decision processes, exploration-exploitation trade-offs, policy evaluation and improvement, and deep reinforcement learning. Students learn how to formulate reinforcement learning problems, implement algorithms to solve them, and analyze agent performance in dynamic environments. Through theoretical principles and practical applications, students gain skills in developing autonomous systems, optimizing sequential decision-making processes, and applying reinforcement learning techniques to solve real-world problems in robotics, gaming, finance, and beyond. STAT 184 prepares students for advanced coursework in machine learning, artificial intelligence, and applications in autonomous systems development.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.