OMSCS CS7642 (Reinforcement Learning) Review and Tips
Eugene Yan
A student completed Georgia Tech's CS7642 Reinforcement Learning course, which covers model-based and model-free methods including Q-learning and deep Q-learning applied to problems like landing a rocket in OpenAI's LunarLander environment. The course requires 30-40 hours per week across lectures, weekly homework assignments (30% of grade), three major projects (15% each), and a final exam (25%), with students spending upwards of 30 hours on individual projects. The student learned to replicate seminal papers and apply reinforcement learning techniques to temporal aspects of human behavior, such as customer journeys and health outcomes.
Why it matters
OMSCS CS7642 (Reinforcement Learning) - Landing rockets (fun!) via deep Q-Learning (and its variants).