jiaxiang-cheng / PyTorch-PDQN-for-Digital-Twin-ACSLinks
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 3 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:
- RL and MARL from Mobile Edge Computing Load Optimization☆11Updated 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
- Robustness Evaluation of RL-based Algorithms for Resource Allocation in 5G Network Slicing☆13Updated last year
- Code containing RRM simulation using RL in a scenario with RAN slicing.☆22Updated 2 years ago
- This is the code for paper: Scalable Federated Multi-agent Architecture forNetworked Communication Scenarios☆21Updated 4 years ago
- Three Agent-Based Simulation for Edge Computing in 5G and Beyond for the recent paper titled "Design and Simulation of a Hybrid Architect…☆19Updated 4 years ago
- This is code of paper entitled "AI-based Radio Resource and Transmission Opportunity Allocation for 5G-V2X HetNets: NR and NR-U networks…☆15Updated 2 years ago
- [Infocom'22] Preemptive Migration Prediction Network for Proactive Fault Tolerant Edge Computing☆44Updated last year
- End-2-end V2X latency models in 5G networks☆11Updated 2 years ago
- Research project on Resource-elastic tasks for edge cloud computing☆12Updated 4 years ago
- ☆16Updated 2 months ago
- ☆13Updated 3 years ago
- Evaluation code of our paper in IEEE Transactions on Cognitive Communications and Networking: ''Energy-Efficient Blockchain-enabled User-…☆48Updated 8 months ago
- ☆13Updated 3 years ago
- Thesis in Federated Learning using an Edge/Cloud Computing architecture☆10Updated 4 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
- Deep Reinforcement Learning Based Dynamic Resource Allocation in 5G Ultra-Dense Networks☆33Updated 4 years ago
- Decision making using Reinforcement Learning☆24Updated 6 years ago
- ☆40Updated 4 years ago
- zamaniali1995 / A-Novel-Approach-for-Service-Function-Chain-SFC-Mapping-with-Multiple-SFC-instances-paperThis code simulate effect of using edge computing for NFV.☆12Updated 5 years ago
- Code for the paper On-Policy vs. Off-Policy Deep Reinforcement Learning for Resource Allocation in Open Radio Access Network☆34Updated 3 years ago
- The visualization of a multi-agent reinforcement learning (MARL)-based strategy with efficient exploration strategy.☆20Updated 3 years ago
- AI-based Resource Provisioning of IoE Services in 6G: A Deep Reinforcement Learning Approach☆12Updated 4 years ago
- I have developed a custom environment using OpenAI Gym in Python for simulating a 5G wireless communication channel as part of a reinforc…☆13Updated last year
- Dynamic Task Software Caching-Assisted Computation Offloading for Multi-Access Edge Computing☆11Updated 2 years ago
- Code for the paper 'Energy Efficiency in Reinforcement Learning for Wireless Sensor Networks'☆23Updated 7 years ago
- Task Scheduler based on Reinforcement Learning (RL) that allocates re-routing computation into the appropriate network element (edge nod…☆19Updated 4 years ago
- This is the code for paper "Correlation-aware Cooperative Multigroup Broadcast 360° Video Delivery Network: A Hierarchical Deep Reinforce…☆28Updated 4 years ago
- User allocation in Mobile Edge Computing Environment using Reinforcement Learning☆33Updated 3 years ago
- ☆39Updated 3 years ago