… (1)多智能体Q学习(Multi Agent Q Learning, MAQL):智能体通过… resource allocation mechanism
based on energy efficiency … A machine learning approach for power allocation in HetNets …

… Multi-agent deep reinforcement learning for end–edge orchestrated resource allocation in
… @article{title="Multi-agent deep reinforcement learning for end–edge orchestrated resource …

… scheme that includes AP power allocation, UAV service zone … Downlink resource allocation
in multiuser cell-free MIMO … allocation for energyefficient and fair communication: A deep …

… affect the energy efficiency( EE) and spectral efficiency(SE) of … system,the resource allocation
problem of downlink in DHN is … transmitting power allocation problem is modeled as a multi-…

… the power allocation problem in non-orthogonal multiple access (… to allocate power in order
to maximize the energy efficiency, … power allocation for a downlink non-orthogonal multiple ac…

… aiming to maximize the overall energy efficiency. Secondly, the … Deep reinforcement learning
based downlink power … and power allocation based on multi-agent deep reinforcement …

… agent clusters. Firstly, this paper introduces the energy utilization mechanism of multiple …
trends of energy efficient utilization mechanisms in multi-agent applications are discussed. …

… between confidential transmission and energy efficiency. This paper … algorithm for millimeter
wave downlink multiuser system[J]. … Joint trajectory and power allocation design for secure …

… SCMA for downlink multiple access of 5G wireless … of machine learning and artificial
intelligent addressing satellite transponder distortions[C]. Proceedings of 2020 IEEE Green Energy …

… and channel conditions over satellite downlinks[J]. IEEE … energy efficiency for data center
via parameterized deep … Deep reinforcement learning for continuous power allocation in …