Priority User

"Priority user" research spans diverse fields, focusing on optimizing systems to preferentially serve or allocate resources to designated high-value entities. Current research emphasizes developing algorithms and models, such as multi-agent reinforcement learning (MARL) and deep deterministic policy gradients (DDPG), to dynamically assign priorities and manage resource allocation efficiently, particularly in complex, dynamic environments. This work is significant for improving performance in various applications, including healthcare, transportation, and communication networks, by ensuring timely and effective service for critical tasks and users.