The course "Deep Learning and Reinforcement Learning" is designed to introduce and explore the cutting-edge theories and methods of deep learning and reinforcement learning. In this course, students will learn the fundamental principles of deep learning networks, various deep learning models, as well as the basic concepts and algorithms of reinforcement learning. The course emphasizes a combination of theory and practice, with case studies and real-world projects to help students master the application and adaptation of machine learning techniques to solve practical problems. The course aims to cultivate students' research abilities, innovative thinking, and teamwork skills, providing them with a solid foundation for research and application in the field of machine learning.