xiaoxuh / HGFF_Maximize-the-lifetime-of-WSN-with-DRLLinks
Code for paper HGFF: A Deep Reinforcement Learning Framework for Lifetime Maximization in Wireless Sensor Networks
☆13Updated 4 months ago
Alternatives and similar repositories for HGFF_Maximize-the-lifetime-of-WSN-with-DRL
Users that are interested in HGFF_Maximize-the-lifetime-of-WSN-with-DRL are comparing it to the libraries listed below
Sorting:
- This repository contains the Python implementation of our submitted paper titled "Deep Reinforcement Learning for Joint Trajectory and Co…☆13Updated 11 months ago
- UAV offloading based on QMIX☆14Updated last year
- The visualization of a multi-agent reinforcement learning (MARL)-based strategy with efficient exploration strategy.☆19Updated 2 years ago
- This is the code for the paper Improved DDPG Based Two-Timescale Multi- Dimensional Resource Allocation for Multi-Access Edge Computing N…☆13Updated last month
- Deep Reinforcement Learning for UAV Routing in The Presence of Multiple Charging Stations☆25Updated 2 years ago
- You can find code and data of an energy-saving deep learning algorithm for ABSS with UAV here.☆10Updated 6 years ago
- Deep Q Network for Multi-agent RL☆15Updated 4 years ago
- code of 《A Reinforcement Learning Optimization Framework for UAV Positioning Information Assisted IoT Data Collection》☆11Updated 7 months ago
- reproduce paper "Energy-Efficient Multi-UAV-Enabled Multiaccess Edge Computing Incorporating NOMA"☆9Updated last year
- Reinforcement Learning for Self Organization and Power Control of Two-Tier Heterogeneous Networks☆20Updated 5 years ago
- Deep Q Network-based scheduling over two-hop wireless channels.☆16Updated 4 years ago
- The source code is the entry for 2022 EUROCONTROL Air Transport Innovation Network Innovation Masterclass. The reinforcement learning mod…☆16Updated 3 years ago
- A Mobile edge computing server placement algorithm, written from scratch for 5g server placement depending upon various KPIs across a ar…☆12Updated 2 years ago
- ☆13Updated 10 months ago
- HAPS-UAV-Enabled Heterogeneous Networks: A Deep Reinforcement Learning Approach☆14Updated last year
- [ToN 2024] Ensuring Threshold AoI for UAV-assisted Mobile Crowdsensing by Multi-Agent Deep Reinforcement Learning with Transformer☆33Updated last year
- This is an Research project☆15Updated 5 months ago
- ☆10Updated 4 years ago
- [ICDE 2022] Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented Distributed Multi-Agent Deep Reinforcement Learning☆24Updated 3 years ago
- ☆14Updated 2 years ago
- Code for the paper 'Energy Efficiency in Reinforcement Learning for Wireless Sensor Networks'☆21Updated 6 years ago
- ☆18Updated 2 years ago
- [ICDE 2020] Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach☆17Updated 3 years ago
- UAV trajectory design (DQN)☆20Updated 3 years ago
- Simulator developed for the mobility management of UAV base stations project featuring A3C☆14Updated 5 years ago
- A simulator for User Equipment association in UAV-empowered Emergency Networks based on Game Theory and developed in the context of Compu…☆17Updated 4 years ago
- ☆14Updated 4 years ago
- Deep Reinforcement Learning tool that places Unmanned Aerial Vehicles☆17Updated 2 years ago
- ☆26Updated 2 years ago
- This is deep reinforcement learning implementation of a research paper mainly based on the wireless communication☆8Updated 3 years ago