Reinforcement Learning

Overview

The course covers Markov decision processes, model-free and model-based learning, policy gradients, Q-learning, offline and inverse reinforcement learning, and selected deep reinforcement learning methods.

Course records

The linked C@mpus records contain the official timetable and registration information.