Advanced Topics in Reinforcement Learning and Planning

Course type

Seminar

Study programs

Content

Students will present papers from a list of important recent works in machine learning and reasoning compiled by the professor. Topics include deep and reinforcement learning, transformer and GNN architectures, and more. The focus will be in the use of these techniques in simple applications that are crisp and easy to understand. The list of papers will also include those underlying well-known learning systems like as Dalle-E, ChatGPT, Alphazero, Gato, etc.

Bachelor degree in CS or equivalent and basic AI and ML courses, with some previous exposure to deep learning and reinforcement learning.