COMP64202: Reinforcement Learning (Semester B, 2025/26 Academic Year)

Learning outcomes:

1. To list the strengths and limitations of modern deep RL approaches
2. To explain the underlying concepts of the discussed methods and how they differ from each other
3. To derive the objectives and analyse the constraints of selected algorithms
4. To analyse a new task to decide which algorithms/architectures to apply
5. To implement selected algorithms/architectures