To realize the full potential of AI, autonomous systems must learn to make good decisions. Reinforcement Learning (RL) is a powerful paradigm for training systems in decision making. RL algorithms are applicable to a wide range of tasks, including robotics, game playing, consumer modeling, and healthcare.
In this course, you will gain a solid introduction to the field of reinforcement learning. Through a combination of lectures and coding assignments, you will learn about the core approaches and challenges in the field, including generalization and exploration. You will also have a chance to explore the concept of deep reinforcement learning—an extremely promising new area that combines reinforcement learning with deep learning techniques.