This document contains information from a reinforcement learning workshop presented by Intelligent City Ltd. and its CEO Shindong Kang. It discusses key concepts in reinforcement learning like Markov decision processes, temporal difference learning, Q-learning, and their applications to problems like games, robotics, and Pavlov's dog experiment. The workshop materials cover topics such as modeling decision making problems as MDPs, solving MDPs using dynamic programming, model-based and model-free reinforcement learning techniques, and Q-learning as an off-policy temporal difference method.