HansenHua / MFPO-INFOCOM24
An online federated reinforcement learning algorithm published in INFOCOM2024
☆14Updated 4 months ago
Alternatives and similar repositories for MFPO-INFOCOM24:
Users that are interested in MFPO-INFOCOM24 are comparing it to the libraries listed below
- Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'☆42Updated last year
- The light codes for the paper published in IJPR named 'Federated Deep Reinforcement Learning for Dynamic Job Scheduling in Cloud-edge Col…☆14Updated last year
- [INFOCOM 2022] AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning☆50Updated 2 years ago
- [ICDE 2022] Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented Distributed Multi-Agent Deep Reinforcement Learning☆24Updated 2 years ago
- [TMC 2023] Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning☆50Updated 2 years ago
- code for☆10Updated 4 years ago
- ☆16Updated 3 years ago
- [TMC 2021] Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning☆27Updated 2 years ago
- A multi-agent reinforcement learning framework for optimizing coverage and connectivity in Space-Air-Ground integrated networks. This pro…☆15Updated last month
- 北京化工大学本科毕业设计《基于深度强化学习的云工作流调度》☆59Updated 3 years ago
- ☆71Updated 2 years ago
- D3QN Pytorch☆61Updated 3 years ago
- Codes for the paper "AoI-Aware Resource Allocation for Platoon-Based C-V2X Networks via Multi-Agent Multi-Task Reinforcement Learning"☆61Updated last year
- The light codes for the paper published in JMS named 'Solving task scheduling problems in cloud manufacturing via attention mechanism and…☆18Updated last year
- This is the code of the moddpg algorithm for UAV-assisted data collection and energy harvesting.☆34Updated 3 years ago
- Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)☆38Updated 6 years ago
- ☆169Updated 4 years ago
- hizircanbayram / FeDQN-A-Federated-Learning-Approach-for-Training-Reinforcement-Learning-Agent-of-Atari-GamesFeDQN is a federated pipeline for training reinforcement learning agent of atari game, the Pong, developed during my first semester at Is…☆24Updated 3 years ago
- Source Code for paper "Joint Computing, Pushing and Caching Optimization for Mobile Edge Computing Networks via Soft Actor-Critic Learnin…☆60Updated last month
- Multi-Agent Deep Reinforcement Learning for Task Offloading in GDMSs☆86Updated last year
- Lightweight multi-agent PPO for IEEE field.☆14Updated 3 years ago
- [ToN 2024] Ensuring Threshold AoI for UAV-assisted Mobile Crowdsensing by Multi-Agent Deep Reinforcement Learning with Transformer☆29Updated last year
- ☆71Updated last year
- ☆134Updated 3 years ago
- [ICDE 2023] Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning☆21Updated 2 years ago
- Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JS…☆291Updated last year
- Distributed Resource Allocation with Multi-Agent Deep Reinforcement Learning for 5G-V2V Communication☆121Updated 3 years ago
- my code for paper Parameterized-DQN☆21Updated 4 years ago
- Publication catalog for research on Federated RL (FRL).☆79Updated 3 years ago
- Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT☆32Updated last year