BIT-MCS / DRL-CEWS
[ICDE 2020] Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach
☆16Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for DRL-CEWS
- [TMC 2021] Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning☆24Updated 2 years ago
- [INFOCOM 2022] AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning☆47Updated last year
- [ICDE 2022] Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented Distributed Multi-Agent Deep Reinforcement Learning☆23Updated 2 years ago
- [JSAC 2019] Energy-Efficient Distributed Mobile Crowd Sensing: A Deep Learning Approach☆13Updated 2 years ago
- [INFOCOM 2021] Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach☆14Updated 2 years ago
- [TMC 2023] Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning☆40Updated 2 years ago
- [INFOCOM 2020] Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning☆14Updated 2 years ago
- [ToN 2024] Ensuring Threshold AoI for UAV-assisted Mobile Crowdsensing by Multi-Agent Deep Reinforcement Learning with Transformer☆20Updated 9 months ago
- [INFOCOM 2020] Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach☆14Updated 2 years ago
- [TITS 2021] Social-aware incentive mechanism for vehicular crowdsensing by deep reinforcement learning☆16Updated 2 years ago
- [KDD 2021] Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning☆13Updated 2 years ago
- code☆11Updated last year
- ☆14Updated last year
- This is the code for paper: Scalable Federated Multi-agent Architecture forNetworked Communication Scenarios☆18Updated 3 years ago
- This repository implements the proposed method from IEEE 2020 Paper Multi-Agent Reinforcement Learning Based Resource Allocation for UAV …☆20Updated last year
- Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'☆35Updated last year
- Decision making using Reinforcement Learning☆19Updated 4 years ago
- [ICDE 2023] Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning☆17Updated last year
- Code for paper Social-Aware Incentive Mechanism for Vehicular Crowdsensing by Deep Reinforcement Learning☆21Updated 2 years ago
- ☆25Updated 3 years ago
- ☆9Updated 3 years ago
- ☆15Updated 2 years ago
- ☆12Updated 3 years ago
- ☆21Updated 2 weeks ago
- [JSAC 2018] Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach☆88Updated 8 months ago
- ☆12Updated 3 years ago
- Vehicular trajectories processing for Didi GAIA Open Data Set☆39Updated last year
- Deep Reinforcement Learning for UAV Routing in The Presence of Multiple Charging Stations☆22Updated last year
- User allocation in Mobile Edge Computing Environment using Reinforcement Learning☆27Updated 2 years ago
- 车联网环境☆16Updated last year