… agents outperform two decentralized baseline scheduling … Our multi-agent deep reinforcement
learning framework … joint optimization of radio resource management decisions in real…

… We first decompose the original single-agent MDP as in (14) … j scheduling slots during the
decentralized learning process. … the definition of an identical utility function structure as in (11), …

… scheduling. In that regard, we propose a multi-agent deep reinforcement learning framework,
… We have observed that an intelligent, distributed communication scheduling can aid in a …

… It supports a multi-numerology structure having different sub-… in 5G: the radio resource
management (RRM) problem. In … learning agent able to solve the radio resource scheduling …

… This letter focuses on how to schedule limited satellite-based radio resources … multi-agent
deep reinforcement learning (CMDRL) framework to achieve the radio resources management …

… distributed online execution framework based on cooperative multi-agent reinforcement
learning (… The channels with idle slot switch according to roundrobin scheduling with a switching …

… an intelligent agent that competes for limited radio resources, … We propose a multi-agent
COQRA method to distribute RBs … In the future works, we plan to enhance the scalability of …

… a small amount of demonstration data to pretrain the agents in our framework, which can
significantly accelerate the learning process of the distributed DRL. The details of the imitation …

… In this paper, we investigate joint user scheduling and beam … problem degrades to radio
resource management in mmWave … multi-agent system, we propose a hybrid learning framework …

… , computation resource allocation and task scheduling at the … to orchestrate the radio resources
between the traditional … ], we develop an online distributed multi-agent deep RL algorithm …