Use multi-agent ReinForcement Learning on mobile crowd sensing.
☆12Sep 30, 2021Updated 4 years ago
Alternatives and similar repositories for mobile_crowd_sensing
Users that are interested in mobile_crowd_sensing are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- a implement and derivation of "CCS-TA: quality-guaranteed online task allocation in compressive crowdsensing"☆12Jun 12, 2022Updated 3 years ago
- [TMC 2021] Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning☆28May 16, 2022Updated 3 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）☆17Jul 2, 2025Updated 8 months ago
- Small Profits and Quick Returns: An Incentive Mechanism Design for Crowdsourcing under Continuous Platform Competition,☆31Aug 9, 2021Updated 4 years ago
- Code for paper Social-Aware Incentive Mechanism for Vehicular Crowdsensing by Deep Reinforcement Learning☆24May 13, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- [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
- [INFOCOM 2020] Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach☆15May 16, 2022Updated 3 years ago
- [INFOCOM 2020] Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning☆17May 16, 2022Updated 3 years ago
- A multi-access (edge) fog computing mobile crowd-sensing simulator. Given a place as input, the current version creates a user movements …☆11Sep 18, 2025Updated 6 months ago
- [INFOCOM 2022] AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning☆57Apr 18, 2023Updated 2 years ago
- Code for "Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data"☆13Jan 5, 2021Updated 5 years ago
- ☆14Mar 24, 2013Updated 13 years ago
- This is the code for paper "AIHO: Enhancing Task Offloading and Reducing Latency in Serverless Multi-Edge-to-Cloud Systems".☆12Feb 3, 2024Updated 2 years ago
- NordVPN Threat Protection Pro™ • AdTake your cybersecurity to the next level. Block phishing, malware, trackers, and ads. Lightweight app that works with all browsers.
- MD Diffusion: Diffusion Models for Multidimensional Seismic Noise Attenuation and Super-Resolution☆15Sep 24, 2024Updated last year
- ☆13Jul 23, 2023Updated 2 years ago
- a simulation framework for optimal participants selection of crowdsensing☆11Mar 20, 2017Updated 9 years ago
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆24Jul 5, 2018Updated 7 years ago
- City Metro Network Expansion with Reinforcement Learning☆13Feb 13, 2020Updated 6 years ago
- Two-Echelon Capacitated location-routing problem of Heterogeneous fleets☆11Oct 30, 2021Updated 4 years ago
- ☆11Sep 24, 2023Updated 2 years ago
- ☆16Mar 11, 2024Updated 2 years ago
- Package for solving dial-a-ride problems.☆11Apr 16, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Realtime mapping the downstream impact of Combined Sewage Overflow discharge events in non-tidal rivers across England and Wales☆19Jan 14, 2026Updated 2 months ago
- ☆12Feb 21, 2024Updated 2 years ago
- A modern agent-based modeling platform for mobility-on-demand simulations.☆13Mar 25, 2021Updated 5 years ago
- Code for our paper "Learning a compressed sensing measurement matrix via gradient unrolling".☆21Apr 11, 2021Updated 4 years ago
- [ICDE 2020] Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach☆18May 16, 2022Updated 3 years ago
- This project proposes a DRL-based fault-tolerant task offloading method for Mobile Edge-Cloud Computing. Using a DDPG algorithm, it minim…☆20Oct 1, 2024Updated last year
- ☆16Aug 15, 2023Updated 2 years ago
- [ICDE 2023] Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning☆26Nov 30, 2022Updated 3 years ago
- EVQUARIUM is an evaluation tool that quantifies the accessibility of EV charging station locations using queueing and graph theory. Given…☆22Mar 1, 2026Updated 3 weeks ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for "Adversarial and Perceptual Refinement Compressed Sensing MRI Reconstruction"☆30Sep 17, 2018Updated 7 years ago
- ☆64Feb 23, 2026Updated last month
- Two-Stage Deep Energy Optimization in IRS-Assisted UAV-Based Edge Computing Systems☆25Mar 24, 2025Updated last year
- code for DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation☆29Oct 27, 2024Updated last year
- Source code for LDPTrace: Locally Differentially Private Trajectory Synthesis. VLDB 2023.☆28Nov 13, 2023Updated 2 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
- Memoize your methods.☆14Jun 21, 2023Updated 2 years ago