… -temporal crowdsourcing resource allocation. Our approach … typical of UAV flight paths and
power control problems, making it … Deep reinforcement learning based energy efficient multi-…

… Energy-Efficient Task Offloading and Re-source Allocation via Deep Reinforcement
Learning for Augmented Reality in Mobile Edge Networks[J].IEEE Internet of Things Journal,2021,8(…

… We then discuss two of the bigger concerns surrounding AI and machine learning—energy …
power usage with energy-efficient cooling systems and more efficient energy management.…

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

… A survey of energy-efficient strategies for federated learning in … data on EDs in various
machine learning tasks, which are the major … resource allocation of federated learning by deep …

… 鄄efficient resource allocation in cloud RANs [C]椅2017 IEEE International Conference on …
Deep reinforcement learning for joint channel selection and power control in D2D networks [J]…

… ) and layer-wise issues are identiMachine learning fied. Then the authors systematically
study the three primary technology Machine learnArtificial intelligence ing(ML), Artificial …

… to reduce latency time and resource allocation. The main aspect of … processing, the Deep
Reinforcement Learning [DRL] … for energy efficient data transmission with low power and …

… of new methods using deep reinforcement learning to solve … Deep reinforcement
learning-based topology optimization for … a mobile agent for energy-efficient traffic control in …

… Based on deep reinforcement learning ( DRL),an efficient AP … Energyefficient power control
in cell-free and user-centric massive … resource allocation and power management using deep …