sheydashz / federated-double-deep-Q_network-Links
A framework that exploits the potentials of distributed federated learning and double deep Q-networks to minimize joint energy and delay in IoT networks
☆11Updated 4 years ago
Alternatives and similar repositories for federated-double-deep-Q_network-
Users that are interested in federated-double-deep-Q_network- are comparing it to the libraries listed below
Sorting:
- Dynamic Task Software Caching-Assisted Computation Offloading for Multi-Access Edge Computing☆11Updated 2 years ago
- Codes for the paper titled Online Joint Task Offloading and Resource Management in Heterogeneous Mobile Edge Environments.☆15Updated 2 years ago
- ☆26Updated 3 years ago
- ☆35Updated 2 years ago
- ☆12Updated 4 years ago
- This is the code for paper: Scalable Federated Multi-agent Architecture forNetworked Communication Scenarios☆20Updated 3 years ago
- code☆13Updated 2 years ago
- ☆16Updated 4 months ago
- Code of Paper "Cooperative Sensing and Uploading for Quality-Cost Tradeoff of Digital Twins in VEC", IEEE TCE, 2024.☆12Updated last year
- Deep Reinforcement Learning for Offloading and Resource Allocation in Vehicle Edge Computing and Networks☆17Updated 3 years ago
- Deep Reinforcement Learning Environments for User-Centric Mobile Edge Computing☆26Updated last year
- ☆14Updated last year
- User allocation in Mobile Edge Computing Environment using Reinforcement Learning☆29Updated 2 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
- 车联网环境☆17Updated last year
- Digital-twin Network Service Pre-migration Scheme for Vehicular Edge Computing☆24Updated last year
- ☆25Updated 2 years ago
- Flexible resource allocation for edge cloud computing with reinforcement learning☆35Updated 5 years ago
- Code of Paper "Cooperative Sensing and Heterogeneous Information Fusion in VCPS: A Multi-agent Deep Reinforcement Learning Approach", IEE…☆11Updated last year
- Decision making using Reinforcement Learning☆22Updated 5 years ago
- ☆14Updated last year
- [TITS 2021] Social-aware incentive mechanism for vehicular crowdsensing by deep reinforcement learning☆16Updated 3 years ago
- Towards Heterogeneous Environment: Lyapunov-orientated ImpHetero Reinforcement Learning for Task Offloading☆24Updated 2 years ago
- In this work, we propose a novel formulation titled Federated Deep Q Networks (F-DQN) to perform distributed learning for Deep RL algorit…☆20Updated 4 years ago
- qiongwu86 / Resource-allocation-for-twin-maintenance-and-computing-tasks-in-digital-twin-mobile-edge-network☆23Updated 11 months ago
- Source Code of QDRL: Queue-aware Online DRL for Computation Offloading in Industrial Internet of Things☆11Updated last year
- This is the MATLAB based simulation of optimized Vehicular Fog Computing framework that minimizes the latency during the computatin tasks…☆11Updated 10 months ago
- The purpose of this project is to implement machine learning methods to study resource allocation problems, that is how to share limited …☆16Updated 3 years ago
- ☆35Updated 2 years ago
- ☆35Updated 2 years ago