[INFOCOM 2020] Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach
☆15May 16, 2022Updated 3 years ago
Alternatives and similar repositories for DRL-MTVCS
Users that are interested in DRL-MTVCS are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [TMC 2021] Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning☆28May 16, 2022Updated 3 years ago
- [INFOCOM 2021] Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach☆16May 16, 2022Updated 3 years ago
- [TITS 2021] Social-aware incentive mechanism for vehicular crowdsensing by deep reinforcement learning☆17May 15, 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
- [KDD 2021] Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning☆19May 18, 2022Updated 3 years ago
- [JSAC 2019] Energy-Efficient Distributed Mobile Crowd Sensing: A Deep Learning Approach☆15May 16, 2022Updated 3 years ago
- [INFOCOM 2022] AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning☆57Apr 18, 2023Updated 2 years ago
- [ICDE 2022] Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented Distributed Multi-Agent Deep Reinforcement Learning☆27May 16, 2022Updated 3 years ago
- Multiple Cooperative Task Allocation on Group-oriented Cooperative Crowdsensing☆24May 28, 2021Updated 4 years ago
- Code for paper Social-Aware Incentive Mechanism for Vehicular Crowdsensing by Deep Reinforcement Learning☆24May 13, 2022Updated 3 years ago
- a implement and derivation of "CCS-TA: quality-guaranteed online task allocation in compressive crowdsensing"☆12Jun 12, 2022Updated 3 years ago
- ☆12Aug 24, 2023Updated 2 years ago
- ☆39Sep 10, 2022Updated 3 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
- [ToN 2024] Ensuring Threshold AoI for UAV-assisted Mobile Crowdsensing by Multi-Agent Deep Reinforcement Learning with Transformer☆50Jan 23, 2024Updated 2 years ago
- [JSAC 2018] Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach☆143Mar 7, 2024Updated 2 years ago
- ☆13Jul 23, 2023Updated 2 years ago
- Simulation code of paper "H. Zhu, Z. Wang, F. Yang, Y. Zhou and X. Luo, "Intelligent Traffic Network Control in the Era of Internet of Ve…☆11Mar 30, 2022Updated 3 years ago
- ☆16Oct 27, 2024Updated last year
- [ICDE 2023] Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning☆26Nov 30, 2022Updated 3 years ago
- Simulation Code in Python for the paper entitled "Cooperation Optimized Design for Information Dissemination in Vehicular Networks using …☆13May 17, 2013Updated 12 years ago
- Code of Paper "Vehicular Fog Computing Enabled Real-time Collision Warning via Trajectory Calibration", MONET, 2019.☆10Oct 21, 2022Updated 3 years ago
- Code for paper "Generative Adversarial Estimation of Channel Covariance in Vehicular Millimeter Wave System"s☆12Sep 21, 2020Updated 5 years ago
- Use multi-agent ReinForcement Learning on mobile crowd sensing.☆12Sep 30, 2021Updated 4 years ago
- ☆16Sep 7, 2025Updated 6 months ago
- Code for the paper "Learning to Schedule Joint Radar-Communication Requests for Optimal Information Freshness" as published in IEEE Intel…☆17Aug 10, 2022Updated 3 years ago
- Deep Reinforcement Learning for Offloading and Resource Allocation in Vehicle Edge Computing and Networks☆20Apr 20, 2022Updated 3 years ago
- ☆12Aug 15, 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
- ☆15Mar 7, 2023Updated 3 years ago
- Research on incentive mechanism design in mobile crowdsensing and mobile edge computing by deep reinforcement learning approaches.☆122Dec 3, 2020Updated 5 years ago
- ☆26Sep 29, 2021Updated 4 years ago
- Codes for "Deep Deterministic Policy Gradient (DDPG) based Energy Harvesting Wireless Communications"☆23Jun 20, 2019Updated 6 years ago
- FANET optimization to provide network services to remote areas☆10Aug 23, 2022Updated 3 years ago
- This is the MATLAB based simulation of optimized Vehicular Fog Computing framework that minimizes the latency during the computatin tasks…☆12Jul 11, 2024Updated last year
- ☆14Sep 27, 2019Updated 6 years ago
- The source code and experimental results of RSDQL.☆28Mar 14, 2022Updated 4 years ago