Designing and implementing a university education resource-sharing platform based on reinforcement learning would require integrating several components to create a functional and efficient system. Reinforcement learning can be used to optimize resource allocation and recommendation algorithms. With the rapid advancement of technology and the increasing demand for efficient knowledge sharing in the academic community, this study presents the design and implementation of a University Education Resource Sharing Platform (UERSP) utilizing reinforcement learning (RL) techniques. The UERSP leverages the power of RL algorithms to intelligently allocate educational resources and facilitate seamless knowledge exchange between students and teachers. Reinforcement learning enables the platform to learn from user interactions and adapt its resource recommendation system based on the evolving preferences and needs of the users. The platform aims to foster collaboration, improve access to educational resources, and enhance learning outcomes among university students and educators.