Search Results for author:
Found 2 papers, 0 papers with code
Multi-UAV Speed Control with Collision Avoidance and Handover-aware Cell Association: DRL with Action Branching
This paper presents a deep reinforcement learning solution for optimizing multi-UAV cell-association decisions and their moving velocity on a 3D aerial highway.
Reinforcement Learning for Joint V2I Network Selection and Autonomous Driving Policies
It is thus critical to simultaneously optimize the AVs' network selection and driving policies in order to minimize road collisions while maximizing the communication data rates.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
