[TMC 2021] Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning
☆28May 16, 2022Updated 3 years ago
Alternatives and similar repositories for e-Divert
Users that are interested in e-Divert are comparing it to the libraries listed below
Sorting:
- [INFOCOM 2021] Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach☆16May 16, 2022Updated 3 years ago
- [INFOCOM 2020] Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach☆15May 16, 2022Updated 3 years ago
- [TITS 2021] Social-aware incentive mechanism for vehicular crowdsensing by deep reinforcement learning☆17May 15, 2022Updated 3 years ago
- [INFOCOM 2022] AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning☆57Apr 18, 2023Updated 2 years ago
- [JSAC 2019] Energy-Efficient Distributed Mobile Crowd Sensing: A Deep Learning Approach☆15May 16, 2022Updated 3 years ago
- [ICDE 2020] Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach☆18May 16, 2022Updated 3 years ago
- [INFOCOM 2020] Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning☆17May 16, 2022Updated 3 years ago
- [TMC 2023] Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning☆62May 16, 2022Updated 3 years ago
- [ICDE 2022] Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented Distributed Multi-Agent Deep Reinforcement Learning☆27May 16, 2022Updated 3 years ago
- [KDD 2021] Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning☆19May 18, 2022Updated 3 years ago
- [ToN 2024] Ensuring Threshold AoI for UAV-assisted Mobile Crowdsensing by Multi-Agent Deep Reinforcement Learning with Transformer☆49Jan 23, 2024Updated 2 years ago
- [ICDE 2023] Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning☆25Nov 30, 2022Updated 3 years ago
- Use multi-agent ReinForcement Learning on mobile crowd sensing.☆12Sep 30, 2021Updated 4 years ago
- ☆15Mar 7, 2023Updated 2 years ago
- ☆13Jul 23, 2023Updated 2 years ago
- [JSAC 2018] Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach☆143Mar 7, 2024Updated last year
- a implement and derivation of "CCS-TA: quality-guaranteed online task allocation in compressive crowdsensing"☆12Jun 12, 2022Updated 3 years ago
- Code for paper Social-Aware Incentive Mechanism for Vehicular Crowdsensing by Deep Reinforcement Learning☆24May 13, 2022Updated 3 years ago
- ☆72Jul 1, 2023Updated 2 years ago
- ☆10Jul 13, 2023Updated 2 years ago
- Towards Heterogeneous Environment: Lyapunov-orientated ImpHetero Reinforcement Learning for Task Offloading☆29Oct 1, 2022Updated 3 years ago
- ☆12Aug 15, 2020Updated 5 years ago
- A framework that exploits the potentials of distributed federated learning and double deep Q-networks to minimize joint energy and delay …☆11Apr 21, 2021Updated 4 years ago
- Deep Reinforcement Learning for UAV Routing in The Presence of Multiple Charging Stations☆34May 23, 2023Updated 2 years ago
- A Unreal Engine 5 (UE5) based plugin aiming to provide real-time visulization, management, editing, and scalable hybrid rendering of Guas…☆14Feb 13, 2026Updated 2 weeks ago
- ☆26Sep 29, 2021Updated 4 years ago
- FANET optimization to provide network services to remote areas☆11Aug 23, 2022Updated 3 years ago
- ☆25Feb 25, 2023Updated 3 years ago
- Research on incentive mechanism design in mobile crowdsensing and mobile edge computing by deep reinforcement learning approaches.☆123Dec 3, 2020Updated 5 years ago
- This is an instant noodle implementation of "Adaptive Task Offloading in Coded Edge Computing: A Deep Reinforcement Learning Approach"☆27Jul 2, 2022Updated 3 years ago
- ☆12Aug 24, 2023Updated 2 years ago
- code☆14Feb 22, 2023Updated 3 years ago
- Implementation of the article 'A Strategic Game for Task Offloading among Capacitated UAV-mounted Cloudlets'☆13Jan 2, 2023Updated 3 years ago
- ☆35Aug 17, 2022Updated 3 years ago
- The purpose of this project is to implement machine learning methods to study resource allocation problems, that is how to share limited …☆16Jun 7, 2022Updated 3 years ago
- ☆14Sep 27, 2019Updated 6 years ago
- Research Resources on Human-Machine Collaborative Sensing by AI-Driven Unmanned Vehicles(边缘环境人机协同群智感知与决策关键技术研究)☆16Jul 2, 2025Updated 8 months ago
- Repository for 'Privacy-Preserving Offloading Scheme in Multi-Access Edge Computing Based on MADRL'☆33Jul 27, 2023Updated 2 years ago
- Fog/Edge management: A survey of source codes☆32Mar 18, 2022Updated 3 years ago