Coursera
University of Alberta,Alberta Machine Intelligence Institute
A Complete Reinforcement Learning System (Capstone) (Coursera)
In this final course of the Reinforcement Learning specialization, you will synthesize your acquired knowledge to build a complete reinforcement learning (RL) system. By tackling a real-world problem, you'll learn how each component—problem formulation, algorithm selection, parameter tuning, and representation design—works together in a cohesive solution. This capstone project requires you to create both the environment simulating your problem and an RL agent with neural network function approximation. You will also conduct a scientific study of your learning system, enhancing your ability to assess the robustness of RL agents.
