paperflight / Hierarchical-Multi-agent-DRL-with-Federated-LearningLinks
This is the code for paper "Correlation-aware Cooperative Multigroup Broadcast 360° Video Delivery Network: A Hierarchical Deep Reinforcement LearningApproach"
☆25Updated 4 years ago
Alternatives and similar repositories for Hierarchical-Multi-agent-DRL-with-Federated-Learning
Users that are interested in Hierarchical-Multi-agent-DRL-with-Federated-Learning are comparing it to the libraries listed below
Sorting:
- This is the code for paper: Scalable Federated Multi-agent Architecture forNetworked Communication Scenarios☆20Updated 3 years ago
- Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT☆33Updated last year
- ☆35Updated 2 years ago
- ☆12Updated 4 years ago
- data routing and caching with DRL in vehicular network☆20Updated 5 years ago
- Flexible resource allocation for edge cloud computing with reinforcement learning☆36Updated 5 years ago
- This project is created for the simulations of the paper: [Wang2021] Wenbo Wang, Amir Leshem, Dusit Niyato and Zhu Han, "Decentralized L…☆31Updated 3 years ago
- ☆45Updated 3 years ago
- User allocation in Mobile Edge Computing Environment using Reinforcement Learning☆29Updated 2 years ago
- ☆16Updated 4 months ago
- ☆26Updated 3 years ago
- ☆24Updated 2 years ago
- ☆14Updated last year
- Towards Heterogeneous Environment: Lyapunov-orientated ImpHetero Reinforcement Learning for Task Offloading☆24Updated 2 years ago
- ☆21Updated last year
- ☆39Updated last year
- Code for Globecom2020 paper: Resource Allocation based on Graph Neural Networks in Vehicular Communications☆57Updated last year
- Code for the paper On-Policy vs. Off-Policy Deep Reinforcement Learning for Resource Allocation in Open Radio Access Network☆34Updated 3 years ago
- Code of Paper "Potential Game Based Channel Allocation for Vehicular Edge Computing (基于势博弈的车载边缘计算信道分配方法)", 电子学报2021.☆50Updated 2 years ago
- ☆35Updated 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
- code☆13Updated 2 years ago
- ☆28Updated 2 years ago
- Code for Learn to Compress CSI and Allocate Resources in Vehicular Networks☆41Updated 4 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
- ☆18Updated 2 years ago
- ☆20Updated 2 years ago
- ☆16Updated 3 years ago
- Decision making using Reinforcement Learning☆22Updated 5 years ago
- Deep Reinforcement Learning Environments for User-Centric Mobile Edge Computing☆26Updated last year