Reinforcement learning reading materials

• Notes.pdf: Introducing the notation, definitions, MDP, value and policy iteration recap.
• Model-Free RL algorithms: Monte Carlo, SARSA, Q-learning (link)
• Q-Learning (link)
• Deep Q-learning: D-QL, slides, slides
• Some applications: Object localization, image segmentation, image registration, anatomical landmark detection, GAN Q-learning, GAN and action critic methods
• Future reading: Double Deep QL
• Summary presentation