. Introduction to Reinforcement Learning . Marcov Decision Process and Dynamic Programming . Model Free Prediction . Model Free Control . Function approximation in RL . Planning and Model-based RL . Policy Gradient and Actor-Critic . Introduction to Deep RL Heading 1 ====== Heading 2 ====== Heading 3 ====== 