Research Topics
Our team focuses on developing and integrating a deep reinforcement learning framework into real-world software challenges. In this project, students will learn about reinforcement learning and become familiar with specific reinforcement learning algorithms. They will also participate in the development of the reinforcement learning framework by implementing new features or fixing existing bugs. Additionally, students will work on integrating the implemented algorithms into real-world software systems and observe/benchmark performance improvements.
Majors Preparation and Interests
Students should have a background in Python and data structures. Knowledge of machine learning and reinforcement learning is encouraged but not required.
Goal
The team aims to explore data intelligence systems by integrating machine learning, particularly deep reinforcement learning, into data structure design, data system optimization, and workload analysis.
Faculty
Team Mentor: Dong Dai
