CS4180 (Reinforcement Learning) course reviews and ratings at Northeastern (NEU). Compare professors with RateMyProfessor reviews.
Introduces reinforcement learning and the Markov decision process (MDP) framework. Covers methods for planning and learning in MDPs such as dynamic programming, model-based methods, and model-free methods. Examines commonly used representations including deep-learning representations. Students are expected to have a working knowledge of probability, to complete programming assignments, and to complete a course project that applies some form of reinforcement learning to a problem of interest.
Data updated October 2026.