Deep Reinforcement Learning for Offloading and Resource Allocation in Vehicle Edge Computing and Networks
☆20Apr 20, 2022Updated 3 years ago
Alternatives and similar repositories for drl
Users that are interested in drl are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Learning-Based Load-Aware Heterogeneous Vehicle Edge Computing☆37Feb 20, 2024Updated 2 years ago
- Q learning and DQN☆10Mar 14, 2022Updated 4 years ago
- ☆12Aug 24, 2023Updated 2 years ago
- Mobility Aware Energy Minimal Task Offloading with Delay Constraints in Mobile Edge Computing Environment☆16Feb 8, 2022Updated 4 years ago
- ☆10Dec 13, 2022Updated 3 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆74May 22, 2023Updated 2 years ago
- ☆17Dec 12, 2022Updated 3 years ago
- ☆36Dec 11, 2022Updated 3 years ago
- ☆16Nov 10, 2023Updated 2 years ago
- ☆12Feb 10, 2021Updated 5 years ago
- ☆92Jun 6, 2024Updated last year
- The purpose of this project is to implement machine learning methods to study resource allocation problems, that is how to share limited …☆16Jun 7, 2022Updated 3 years ago
- This is an instant noodle implementation of "Adaptive Task Offloading in Coded Edge Computing: A Deep Reinforcement Learning Approach"☆27Jul 2, 2022Updated 3 years ago
- ☆39Sep 10, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Flexible resource allocation for edge cloud computing with reinforcement learning☆38May 29, 2020Updated 5 years ago
- ☆10Feb 28, 2021Updated 5 years ago
- ☆24Apr 12, 2022Updated 4 years ago
- ☆40May 5, 2021Updated 4 years ago
- ☆13Jun 17, 2022Updated 3 years ago
- A framework that exploits the potentials of distributed federated learning and double deep Q-networks to minimize joint energy and delay …☆11Apr 21, 2021Updated 4 years ago
- ☆14Jul 29, 2023Updated 2 years ago
- ☆10Jul 13, 2023Updated 2 years ago
- 基于边缘计算网络的卸载优化及资源优化☆121Feb 27, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- 使用强化学习求解边缘计算中短视频边缘缓存策略，当前使用ddpg进行求解☆30May 16, 2022Updated 3 years ago
- User allocation in Mobile Edge Computing Environment using Reinforcement Learning☆32Sep 16, 2022Updated 3 years ago
- This repository contains the implementation codes of deep reinforcement learning (DRL) in user association and resource allocation in het…☆78Jul 9, 2020Updated 5 years ago
- Deep Reinforcement Learning for Cooperative Edge Caching in Vehicular Networks☆36May 1, 2022Updated 3 years ago
- ☆93May 22, 2023Updated 2 years ago
- Yan, Ruibin, Yijun Gu, Zeyu Zhang, and Shouzhong Jiao. 2023. "Vehicle Trajectory Prediction Method for Task Offloading in Vehicular Edge …☆14Sep 27, 2023Updated 2 years ago
- FANET optimization to provide network services to remote areas☆10Aug 23, 2022Updated 3 years ago
- ICC 2022 submit paper code☆27Nov 24, 2023Updated 2 years ago
- joint computation offloading and resource allocation in Internet of Vehicle☆87Apr 4, 2021Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆19Nov 19, 2021Updated 4 years ago
- [KDD 2021] Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning☆19May 18, 2022Updated 3 years ago
- The visualization of a multi-agent reinforcement learning (MARL)-based strategy with efficient exploration strategy.☆20Oct 28, 2022Updated 3 years ago
- ☆16Sep 29, 2023Updated 2 years ago
- ☆125Nov 12, 2020Updated 5 years ago
- [TITS 2021] Social-aware incentive mechanism for vehicular crowdsensing by deep reinforcement learning☆17May 15, 2022Updated 3 years ago
- ☆54Jun 24, 2024Updated last year