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:
- Codes for the paper titled Online Joint Task Offloading and Resource Management in Heterogeneous Mobile Edge Environments.☆16Updated 2 years ago
- ☆16Updated last month
- Dynamic Task Software Caching-Assisted Computation Offloading for Multi-Access Edge Computing☆11Updated 2 years ago
- User allocation in Mobile Edge Computing Environment using Reinforcement Learning☆32Updated 3 years ago
- Code of Paper "Cooperative Sensing and Heterogeneous Information Fusion in VCPS: A Multi-agent Deep Reinforcement Learning Approach", IEE…☆12Updated 2 years ago
- ☆37Updated 3 years 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
- ☆26Updated 4 years ago