Class overview

Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research is at the forefront of machine learning. Deep RL is able to solve a wide range of complex decision-making tasks, opening up new opportunities in domains such as healthcare, robotics, smart grids, finance, and many more. This class will cover recent advances in deep RL, including imitation learning, Policy Gradients, Deep Q-learning, Actor-Critic algorithms, and model-based RL. The course will be a combination of lectures, student presentations, and projects.