This project will develop new reinforcement learning theories for next-generation communication networks, 6G and beyond. We will focus on the design, analysis, and control of spectrum sharing and online learning in communication networks with model-free and model-based reinforcement learning algorithms. We will combine communication theories, stochastic networks, control and statistics, and game theories for large-scale communication systems.
Funding: $60K (2022)
Goal: This project will develop new reinforcement learning algorithms for future communication networks and establish new collaborations among the participating PIs.
Token Investors: Lei Ying, Mingyan Liu, Vijay Subramanian, Hun-Seok Kim
Project ID: 1006