In different wireless network scenarios, multiple network entities need to cooperate in order
to achieve a common task with minimum delay and energy consumption. Future wireless …

In order to increase network capacity and coverage, flying base stations (FBSs) can be
deployed in a variety of scenarios, such as in extremely crowded gatherings or for …

Deep Reinforcement Learning (DRL) has recently witnessed significant advances that have
led to multiple successes in solving sequential decision-making problems in various …

Multi-agent reinforcement learning (MARL) has become a fundamental component of next-
generation wireless communication systems. Theoretically, although MARL has the …

Communicating agents with each other in a distributed manner and behaving as a group are
essential in multi-agent reinforcement learning. However, real-world multi-agent systems …

This paper addresses the challenge of scalable multi-agent reinforcement learning (MARL)
under partial observability and communication constraints. An Efficient Multi-Agent …

Future Internet involves several emerging technologies such as 5G and beyond 5G
networks, vehicular networks, unmanned aerial vehicle (UAV) networks, and Internet of …

Scalability is the key roadstone towards the application of cooperative intelligent algorithms
in large-scale networks. Reinforcement learning (RL) is known as model-free and high …

Multi-agent reinforcement learning (MARL) has long been a significant research topic in
both machine learning and control systems. Recent development of (single-agent) deep …

Future wireless communication networks tend to be intelligentized to accomplish the
missions that cannot be preprogrammed. In the new intelligent communication systems …