Resilient operation of distribution grids using deep reinforcement learning

MM Hosseini, M Parvania - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
… such as high wind speeds, the extent of which is directly related to the intensity and continuity
of the … , enough to cover almost all possible outcomes. However, solving the problem for a …

Demand-driven deep reinforcement learning for scalable fog and service placement

H Sami, A Mourad, H Otrok… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
resource allocation using the actor-critic approximation algorithm. Another work proposes a
dynamic … Section 4, hence the model is a continuation of the learning that happened in (s2). …

Deep reinforcement learning for cooperative content caching in vehicular edge computing and networks

G Qiao, S Leng, S Maharjan, Y Zhang… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
… the connection period within the coverage area of SBSs or in … making and adaptive resource
management. Particularly, we … network to provide service continuity and RSUs are randomly …

Game combined multi-agent reinforcement learning approach for UAV assisted offloading

A Gao, Q Wang, W Liang, Z Ding - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
… in continuity rather than other deep reinforcement learning (… the multiUAV fair communication
coverage with the minimum … to tackle the sub-channel allocation in FDMA for 3D trajectory …

Hybrid policy-based reinforcement learning of adaptive energy management for the Energy transmission-constrained island group

L Yang, X Li, M Sun, C Sun - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
… THE oceans cover most of the earth, and there are abun- dant resources waiting to be …
However, due to the large number of redundant actions caused by the continuation of discrete …

Deep reinforcement learning based optimal scheduling of active distribution system considering distributed generation, energy storage and flexible load

Y Lu, Y Xiang, Y Huang, B Yu, L Weng, J Liu - Energy, 2023 - Elsevier
resources has become major challenge for ADS. In this paper, a multi-agent deep reinforcement
learning (MADRL) based … Besides, the region ownership of distributed resources is …

Downlink transmit power control in ultra-dense UAV network based on mean field game and deep reinforcement learning

L Li, Q Cheng, K Xue, C Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
coverage range and power of the UAV. In [29], the authors proposed an effective multi-objective
resource allocation … It cuts off the continuity of similar training situations afterwards, and …

[HTML][HTML] Machine learning for radio resource management in multibeam GEO satellite systems

FG Ortiz-Gomez, L Lei, E Lagunas, R Martinez… - Electronics, 2022 - mdpi.com
… contribution can be considered a continuation of the SATAI project [22]. … high-throughput
satellite system cp, comprising a single GEO multi-beam satellite providing coverage to a wide

Joint RAN slicing and computation offloading for autonomous vehicular networks: A learning-assisted hierarchical approach

Q Ye, W Shi, K Qu, H He, W Zhuang… - IEEE Open Journal of …, 2021 - ieeexplore.ieee.org
… radio processing and resource management functions, eg, … handover to maintain the continuity
of task offloading. Radio … a deep reinforcement learning (DRL)-based framework to learn

Multiobjective load balancing for multiband downlink cellular networks: A meta-reinforcement learning approach

A Feriani, D Wu, YT Xu, J Li, S Jang… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
… expert knowledge and high customization to cover all the … for a realworld problem, a natural
continuation of this work is to … to spectrum management and resource allocation in cognitive …