Deep Reinforcement Learning-Based Multirestricted Dynamic-Request Transportation Framework
E Akin - IEEE Transactions on Neural Networks and Learning …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are used in many areas where their usage is increasing
constantly. Their popularity, therefore, maintains its importance in the technology world …
constantly. Their popularity, therefore, maintains its importance in the technology world …
Deep Reinforcement Learning Enabled Multi-UAV Scheduling for Disaster Data Collection With Time-Varying Value
The congestion and disruption of information infrastructures frequently happen during
disasters, which would hinder the understanding of disaster scenarios, and thus impede …
disasters, which would hinder the understanding of disaster scenarios, and thus impede …
Trajectory design for UAV-assisted emergency communications: A transfer learning approach
This paper studies the problem of trajectory design for unmanned aerial vehicle (UAV)-
assisted emergency communications, where the ground base station (BS) may be no longer …
assisted emergency communications, where the ground base station (BS) may be no longer …
[HTML][HTML] A reinforcement learning model of multiple UAVs for transporting emergency relief supplies
D Hachiya, E Mas, S Koshimura - Applied Sciences, 2022 - mdpi.com
In large-scale disasters, such as earthquakes and tsunamis, quick and sufficient
transportation of emergency relief supplies is required. Logistics activities conducted to …
transportation of emergency relief supplies is required. Logistics activities conducted to …
Dynamic online trajectory planning for a UAV-enabled data collection system
S Li, F Wu, S Luo, Z Fan, J Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the maneuverability and flexibility of unmanned aerial vehicles (UAVs), the UAV-
enabled data collection systems for wireless sensor networks (WSN) have received …
enabled data collection systems for wireless sensor networks (WSN) have received …
Deep reinforcement learning for demand driven services in logistics and transportation systems: A survey
Recent technology development brings the booming of numerous new Demand-Driven
Services (DDS) into urban lives, including ridesharing, on-demand delivery, express …
Services (DDS) into urban lives, including ridesharing, on-demand delivery, express …
Learning-based cooperative aerial and ground vehicle routing for emergency communications
Y Zhu, S Wang - GLOBECOM 2022-2022 IEEE Global …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-assisted communications has emerged as a promising
technology in many domains, such as disaster relief and emergency scenarios. However …
technology in many domains, such as disaster relief and emergency scenarios. However …
Reinforcement learning to optimize the logistics distribution routes of unmanned aerial vehicle
L Feng - arXiv preprint arXiv:2004.09864, 2020 - arxiv.org
Path planning methods for the unmanned aerial vehicle (UAV) in goods delivery have drawn
great attention from industry and academics because of its flexibility which is suitable for …
great attention from industry and academics because of its flexibility which is suitable for …
6G-Assisted UAV-Truck Networks: Toward Efficient Essential Services Delivery
Energy consumption is a critical constraint for Unmanned Aerial Vehicles (UAVs) delivery
operations to achieve their full potential of providing fast delivery, reducing cost, and cutting …
operations to achieve their full potential of providing fast delivery, reducing cost, and cutting …
Cooperative aerial and ground vehicle trajectory planning for post-disaster communications: An attention-based learning approach
Y Zhu, S Wang - Vehicular Communications, 2023 - Elsevier
The ground infrastructures are highly susceptible to disruption after disasters, which causes
the paralysis of communication. In this case, solutions besides original architecture are …
the paralysis of communication. In this case, solutions besides original architecture are …