Paper Accepted
Published:
Our paper, “FedTD3: An Accelerated Learning Approach for UAV Trajectory Planning,” has been accepted by the International Conference on Wireless Artificial Intelligent Computing Systems and Applications (WASA) 2025.
Compared with our previous TMC work, we optimized the Federating component using a Flower-based implementation and addressed the UAV return issue, which can hinder RL exploration.
