Deep deterministic policy gradient algorithm: A systematic review
Abstract Deep Reinforcement Learning (DRL) has gained significant adoption in diverse
fields and applications, mainly due to its proficiency in resolving complicated decision …
fields and applications, mainly due to its proficiency in resolving complicated decision …
Coverage Strategy for Small-Cell UAV-Based Networks in IoT Environment
In wireless communication, small cells are low-powered cellular base stations that can be
used to enhance the coverage and capacity of wireless networks in areas where traditional …
used to enhance the coverage and capacity of wireless networks in areas where traditional …
Energy-Efficient Trajectory Optimization with Wireless Charging in UAV-Assisted MEC Based on Multi-Objective Reinforcement Learning
This paper investigates the problem of energy-efficient trajectory optimization with wireless
charging (ETWC) in an unmanned aerial vehicle (UAV)-assisted mobile edge computing …
charging (ETWC) in an unmanned aerial vehicle (UAV)-assisted mobile edge computing …
LSTM-based Trajectory and Phase-Shift Prediction for RSMA Networks Assisted by AIRS
This paper investigates rate-splitting multiple access (RSMA) networks with multiusers
assisted by aerial intelligent reflecting surfaces (AIRS). To improve the sum-rate of the …
assisted by aerial intelligent reflecting surfaces (AIRS). To improve the sum-rate of the …
Joint optimization strategy of offloading in multi-UAVs-assisted edge computing networks
Z Jiang, R Cao, S Zhang - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Mobile edge computing (MEC) has been developed to solve the problem of insufficient
computing resource of edge user devices. However, it is common that the buildings obstacle …
computing resource of edge user devices. However, it is common that the buildings obstacle …
Memristive Complex Functions for Design of Deep Neural Network
I Kipelkin, S Gerasimova, T Levanova… - 2023 7th Scientific …, 2023 - ieeexplore.ieee.org
Memristive Complex Functions for Design of Deep Neural Network Page 1 Ivan Kipelkin
Lobachevsky State University Nizhniy Novgorod, Russia Ivan.kipelkin@yandex.ru Svetlana …
Lobachevsky State University Nizhniy Novgorod, Russia Ivan.kipelkin@yandex.ru Svetlana …
LSTM-TD3-Based Control for Delayed Drone Combat Strategies
B Ji, J Wang, H Zhang, Y Zhang - Chinese Intelligent Systems Conference, 2023 - Springer
Reinforcement learning has made great achievements in the field of game confrontation,
and military rendition intelligence is also imminent. In this paper, we propose a game …
and military rendition intelligence is also imminent. In this paper, we propose a game …