Reinforcement learning is a way of learning similar to human learning, which continuously learns from environmental feedback, thereby promoting the continuous updating of the intelligent agent and enhancing the performance of the intelligent agent. This section mainly introduces reinforcement learning from the following aspects: the concept of reinforcement learning, model-based learning and model-free learning, solution methods, and reinforcement learning algorithms.