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Found 10 papers, 2 papers with code
Enhancement of High-definition Map Update Service Through Coverage-aware and Reinforcement Learning
Typically, these raw datasets are collected and uploaded to cloud-based HD map service providers through vehicular networks.
Deep Reinforcement Learning based Evasion Generative Adversarial Network for Botnet Detection
We name this model RELEVAGAN, i. e. ["relive a GAN" or deep REinforcement Learning-based Evasion Generative Adversarial Network] because, with the help of DRL, it minimises the GAN's job by letting its generator explore the evasion samples within the semantic limits.
Towards On-Device AI and Blockchain for 6G enabled Agricultural Supply-chain Management
6G envisions artificial intelligence (AI) powered solutions for enhancing the quality-of-service (QoS) in the network and to ensure optimal utilization of resources.
Deep Reinforcement Learning-Based Long-Range Autonomous Valet Parking for Smart Cities
In this paper, to reduce the congestion rate at the city center and increase the quality of experience (QoE) of each user, the framework of long-range autonomous valet parking (LAVP) is presented, where an Autonomous Vehicle (AV) is deployed in the city, which can pick up, drop off users at their required spots, and then drive to the car park out of city center autonomously.
Private and Utility Enhanced Recommendations with Local Differential Privacy and Gaussian Mixture Model
At the SP, The MoG model estimates the noise added to perturbed ratings and the MF algorithm predicts missing ratings.
Multi-Agent Deep Reinforcement Learning Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing
An unmanned aerial vehicle (UAV)-aided mobile edge computing (MEC) framework is proposed, where several UAVs having different trajectories fly over the target area and support the user equipments (UEs) on the ground.
Joint Trajectory and Passive Beamforming Design for Intelligent Reflecting Surface-Aided UAV Communications: A Deep Reinforcement Learning Approach
In this paper, the intelligent reflecting surface (IRS)-aided unmanned aerial vehicle (UAV) communication system is studied, where the UAV is deployed to serve the user equipment (UE) with the assistance of multiple IRSs mounted on several buildings to enhance the communication quality between UAV and UE.
A new method to evaluate the dynamic air gap thickness and garment sliding of virtual clothes during walking
However, the virtual clothing fit evaluation is still under-researched.
Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-assisted Mobile Edge Computing
In this paper, we consider a platform of flying mobile edge computing (F-MEC), where unmanned aerial vehicles (UAVs) serve as equipment providing computation resource, and they enable task offloading from user equipment (UE).
RL-Based User Association and Resource Allocation for Multi-UAV enabled MEC
In this paper, multi-unmanned aerial vehicle (UAV) enabled mobile edge computing (MEC), i. e., UAVE is studied, where several UAVs are deployed as flying MEC platform to provide computing resource to ground user equipments (UEs).
