Deep Reinforcement Learning & Control

12 units · Graduate

Spring: 12 units This course will cover latest advances in Reinforcement Learning and Imitation learning. This is a fast developing research field and an official textbook is available only for about one fourth of the course material. The rest will be taught from recent research papers. This course brings together many disciplines of Artificial Intelligence to show how to develop intelligent agent that can learn to sense the world and learn to act imitating others or maximizing sparse rewards Particular focus will be given in incorporating visual sensory input and learning suitable visual state representations. Prerequisites: 07-280 Min. grade B or 10-401 Min. grade B or 10-701 Min. grade B or 10-601 Min. grade B or 10-715 Min. grade B or 10-301 Min. grade B or 10-315 Min. grade B Course Website: https://cmudeeprl.github.io/703website/