BIT-MCS / DRL-CEWSLinks
[ICDE 2020] Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach
☆17Updated 3 years ago
Alternatives and similar repositories for DRL-CEWS
Users that are interested in DRL-CEWS are comparing it to the libraries listed below
Sorting:
- [TMC 2021] Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning☆28Updated 3 years ago
- [JSAC 2019] Energy-Efficient Distributed Mobile Crowd Sensing: A Deep Learning Approach☆15Updated 3 years ago
- [ICDE 2022] Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented Distributed Multi-Agent Deep Reinforcement Learning☆24Updated 3 years ago
- [INFOCOM 2021] Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach☆15Updated 3 years ago
- [INFOCOM 2020] Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning☆16Updated 3 years ago
- [INFOCOM 2022] AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning☆54Updated 2 years ago
- [ToN 2024] Ensuring Threshold AoI for UAV-assisted Mobile Crowdsensing by Multi-Agent Deep Reinforcement Learning with Transformer☆33Updated last year
- [TMC 2023] Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning☆54Updated 3 years ago
- [INFOCOM 2020] Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach☆14Updated 3 years ago
- [KDD 2021] Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning☆16Updated 3 years ago
- [TITS 2021] Social-aware incentive mechanism for vehicular crowdsensing by deep reinforcement learning☆16Updated 3 years ago
- This repository contains the Python implementation of our submitted paper titled "Deep Reinforcement Learning for Joint Trajectory and Co…☆13Updated 11 months ago
- Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'☆44Updated 2 years ago
- User allocation in Mobile Edge Computing Environment using Reinforcement Learning☆29Updated 2 years ago
- ☆16Updated 3 years ago
- ☆18Updated 2 months ago
- UAV offloading based on QMIX☆14Updated last year
- ☆26Updated 2 years ago
- Code for IEEE GLOBECOM 2023 paper "Caching for Edge Inference at Scale: A Mean Field Multi-Agent Reinforcement Learning Approach".☆12Updated last year
- 车联网环境☆17Updated last year
- Code of Paper "Cooperative Sensing and Uploading for Quality-Cost Tradeoff of Digital Twins in VEC", IEEE TCE, 2024.☆12Updated last year
- ☆35Updated 2 years ago
- 一个基于图神经网络的强化学习网络资源分配模型☆29Updated 3 years ago
- Deep Reinforcement Learning Environments for User-Centric Mobile Edge Computing☆26Updated last year
- code☆13Updated 2 years ago
- This is the code for paper: Scalable Federated Multi-agent Architecture forNetworked Communication Scenarios☆20Updated 3 years ago
- This is an instant noodle implementation of "Adaptive Task Offloading in Coded Edge Computing: A Deep Reinforcement Learning Approach"☆26Updated 2 years ago
- A multi-agent reinforcement learning framework for optimizing coverage and connectivity in Space-Air-Ground integrated networks. This pro…☆24Updated 3 months ago
- ☆20Updated 2 years ago
- Decision making using Reinforcement Learning☆22Updated 5 years ago