yqlu1015 / MARL-Based-CachingLinks
Code for IEEE GLOBECOM 2023 paper "Caching for Edge Inference at Scale: A Mean Field Multi-Agent Reinforcement Learning Approach".
☆12Updated last year
Alternatives and similar repositories for MARL-Based-Caching
Users that are interested in MARL-Based-Caching are comparing it to the libraries listed below
Sorting:
- Codes for the paper "AoI Aware Radio Resource Management of Autonomous Platoons via Multi Agent Reinforcement Learning"☆21Updated 2 years ago
- This is the code for paper: Scalable Federated Multi-agent Architecture forNetworked Communication Scenarios☆20Updated 3 years ago
- ☆12Updated 4 years ago
- Parallel training on multiple Deep RL agents with Federated Learning approach to gain higher rewards☆34Updated 2 years ago
- [ToN 2024] Ensuring Threshold AoI for UAV-assisted Mobile Crowdsensing by Multi-Agent Deep Reinforcement Learning with Transformer☆33Updated last year
- The visualization of a multi-agent reinforcement learning (MARL)-based strategy with efficient exploration strategy.☆19Updated 2 years ago
- UAV offloading based on QMIX☆14Updated last year
- qiongwu86 / Resource-allocation-for-twin-maintenance-and-computing-tasks-in-digital-twin-mobile-edge-network☆25Updated last year
- [ICDE 2020] Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach☆17Updated 3 years ago
- User allocation in Mobile Edge Computing Environment using Reinforcement Learning☆30Updated 2 years ago
- Code of Paper "Cooperative Sensing and Uploading for Quality-Cost Tradeoff of Digital Twins in VEC", IEEE TCE, 2024.☆12Updated 2 years ago
- [ICDE 2022] Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented Distributed Multi-Agent Deep Reinforcement Learning☆25Updated 3 years ago
- [TMC 2021] Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning☆28Updated 3 years ago
- [TSC'23 - HRL-ACRA] Implementation of our paper "Joint Admission Control and Resource Allocation of Virtual Network Embedding via Hierarc…☆27Updated 2 months ago
- code☆13Updated 2 years ago
- [JSAC 2019] Energy-Efficient Distributed Mobile Crowd Sensing: A Deep Learning Approach☆15Updated 3 years ago
- [INFOCOM 2022] AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning☆54Updated 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
- ☆35Updated 2 years ago
- This is an Research project☆16Updated 6 months ago
- ZWLab23 / Delay-and-Battery-Degradation-Optimization-based-on-PPO-for-Task-Offloading-in-RSU-assisted-IoV☆15Updated last year
- ☆26Updated 2 years ago
- Deep Reinforcement Learning Environments for User-Centric Mobile Edge Computing☆26Updated last year
- Decision making using Reinforcement Learning☆22Updated 5 years ago
- [TITS 2021] Social-aware incentive mechanism for vehicular crowdsensing by deep reinforcement learning☆16Updated 3 years ago
- A multi-agent reinforcement learning framework for optimizing coverage and connectivity in Space-Air-Ground integrated networks. This pro…☆25Updated 4 months ago
- Simulation code for the paper "Resource Allocation in V2X Networks: From Classical Optimization to Machine Learning-based Solutions"☆18Updated last year
- This repository contains the Python implementation of our submitted paper titled "Deep Reinforcement Learning for Joint Trajectory and Co…☆14Updated last year
- HAPS-UAV-Enabled Heterogeneous Networks: A Deep Reinforcement Learning Approach☆15Updated 2 years ago
- ☆29Updated 2 years ago