BIT-MCS / DRL-SIMLinks
[TITS 2021] Social-aware incentive mechanism for vehicular crowdsensing by deep reinforcement learning
☆16Updated 3 years ago
Alternatives and similar repositories for DRL-SIM
Users that are interested in DRL-SIM 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
- [INFOCOM 2020] Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach☆14Updated 3 years ago
- [INFOCOM 2021] Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach☆15Updated 3 years ago
- This is the code for paper: Scalable Federated Multi-agent Architecture forNetworked Communication Scenarios☆20Updated 3 years ago
- Code for paper Social-Aware Incentive Mechanism for Vehicular Crowdsensing by Deep Reinforcement Learning☆23Updated 3 years ago
- [INFOCOM 2022] AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning☆54Updated 2 years ago
- [INFOCOM 2020] Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning☆16Updated 3 years ago
- ☆29Updated 2 years ago
- [ICDE 2022] Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented Distributed Multi-Agent Deep Reinforcement Learning☆25Updated 3 years ago
- A framework that exploits the potentials of distributed federated learning and double deep Q-networks to minimize joint energy and delay …☆11Updated 4 years ago
- User allocation in Mobile Edge Computing Environment using Reinforcement Learning☆30Updated 2 years ago
- Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT☆33Updated last year
- [ToN 2024] Ensuring Threshold AoI for UAV-assisted Mobile Crowdsensing by Multi-Agent Deep Reinforcement Learning with Transformer☆33Updated last year
- [ICDE 2020] Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach☆17Updated 3 years ago
- ☆70Updated 2 years ago
- [TMC 2023] Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning☆56Updated 3 years ago
- ☆77Updated 2 years ago
- 车联网环境☆17Updated last year
- Code of Paper "Cooperative Sensing and Heterogeneous Information Fusion in VCPS: A Multi-agent Deep Reinforcement Learning Approach", IEE…☆12Updated 2 years ago
- ☆35Updated 2 years ago
- ☆26Updated 3 years ago
- ☆26Updated 2 years ago
- [JSAC 2019] Energy-Efficient Distributed Mobile Crowd Sensing: A Deep Learning Approach☆15Updated 3 years ago
- ICC 2022 submit paper code☆27Updated last year
- Decision making using Reinforcement Learning☆22Updated 5 years ago
- ☆36Updated 2 years ago
- [KDD 2021] Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning☆16Updated 3 years ago
- Deep Reinforcement Learning Environments for User-Centric Mobile Edge Computing☆26Updated last year
- code☆13Updated 2 years ago
- ☆73Updated 3 years ago