Overview
Decision Making has made massive strides over the past decade, from monumental achievements in gaming(Atari and Go) to the seamless control of robots in diverse applications. This is a graduate-level course on Decision Making, with a dedicated focus on practical applications and recent research breakthroughs. Students will be introduced to a broad set of topics, covering essential formalisms, latest concepts in Imitation Learning, the nuances of Behavior Cloning, and the powerful realm of Reinforcement Learning (RL). Applications across industries such as gaming, robotics, and industry will be discussed to offer a holistic perspective of the impact of decision-making in various domains. This course will involve several coding home-works where you will implement various algorithms and a final project.
