jiaxiang-cheng / PyTorch-PDQN-for-Digital-Twin-ACS
PyTorch implementation of RIC for conveyor systems with Deep Q-Networks (DQN) and Profit-Sharing (PS). Wang, T., Cheng, J., Yang, Y., Esposito, C., Snoussi, H., & Tao, F. (2020). Adaptive Optimization Method in Digital Twin Conveyor Systems via Range-Inspection Control. IEEE Transactions on Automation Science and Engineering.
☆13Updated 2 years ago
Alternatives and similar repositories for PyTorch-PDQN-for-Digital-Twin-ACS
Users that are interested in PyTorch-PDQN-for-Digital-Twin-ACS 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
- Decision making using Reinforcement Learning☆22Updated 5 years ago
- RL and MARL from Mobile Edge Computing Load Optimization☆11Updated last year
- qiongwu86 / Resource-allocation-for-twin-maintenance-and-computing-tasks-in-digital-twin-mobile-edge-network☆22Updated 11 months ago
- Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT☆33Updated last year
- Evaluation code of our paper in IEEE Transactions on Cognitive Communications and Networking: ''Energy-Efficient Blockchain-enabled User-…☆46Updated 2 months ago
- ☆9Updated 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
- Simulator developed for the mobility management of UAV base stations project featuring A3C☆14Updated 5 years ago
- Codes for the paper "AoI Aware Radio Resource Management of Autonomous Platoons via Multi Agent Reinforcement Learning"☆21Updated 2 years ago
- A framework that exploits the potentials of distributed federated learning and double deep Q-networks to minimize joint energy and delay …☆11Updated 4 years ago
- Codes for the paper titled Online Joint Task Offloading and Resource Management in Heterogeneous Mobile Edge Environments.☆15Updated 2 years ago
- Deep Reinforcement Learning Environments for User-Centric Mobile Edge Computing☆26Updated last year
- User allocation in Mobile Edge Computing Environment using Reinforcement Learning☆29Updated 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
- GitHub for the article Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB traffic (Fabio Saggese, Luca Pasqua…☆17Updated 4 years ago
- Code for the paper 'Energy Efficiency in Reinforcement Learning for Wireless Sensor Networks'☆20Updated 6 years ago
- This is an Research project☆14Updated 4 months ago
- [TITS 2021] Social-aware incentive mechanism for vehicular crowdsensing by deep reinforcement learning☆16Updated 3 years ago
- This paper has been accepted by IEEE MASS 2022.☆15Updated last year
- Three Agent-Based Simulation for Edge Computing in 5G and Beyond for the recent paper titled "Design and Simulation of a Hybrid Architect…☆17Updated 3 years ago
- ☆35Updated 2 years ago
- Research project on Resource-elastic tasks for edge cloud computing☆11Updated 3 years ago
- Mobility Aware Energy Minimal Task Offloading with Delay Constraints in Mobile Edge Computing Environment☆17Updated 3 years ago
- You can find code and data of an energy-saving deep learning algorithm for ABSS with UAV here.☆10Updated 6 years ago
- ☆16Updated 2 years ago
- D3QN framework for distributed resource allocation☆16Updated 10 months ago
- ☆21Updated last year
- This is the code for paper "Correlation-aware Cooperative Multigroup Broadcast 360° Video Delivery Network: A Hierarchical Deep Reinforce…☆25Updated 4 years ago
- Application of Particle Swarm Optimization Technique for dynamic resource allocation in a cloud computing environment☆18Updated 9 years ago