MilesCranmer / gnn_resource_allocationLinks
Code for our paper on doing resource allocation with graph neural networks
☆32Updated 4 years ago
Alternatives and similar repositories for gnn_resource_allocation
Users that are interested in gnn_resource_allocation are comparing it to the libraries listed below
Sorting:
- Link Scheduling using Graph Neural Networks, IEEE TWC☆37Updated last year
- meta-MADDPG (Python implementation)☆19Updated 7 years ago
- Implementation of state-of-the-art multi-player multi-armed bandit problem algorithms.☆20Updated 4 years ago
- This repository is a collection of machine learning models for computer networks.☆27Updated last week
- The code shows how we can combine the ideas of deep reinforcement learning and graph neural networks☆30Updated last year
- OpenAI Gym Environments for the Application of Reinforcement Learning in the Simulation of Wireless Networked Feedback Control Loops☆14Updated 4 years ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆103Updated 2 years ago
- Dynamic channel allocation in cellular networks by reinforcement learning☆16Updated 3 years ago
- Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)☆38Updated 7 years ago
- ☆22Updated 4 years ago
- Attention based model for learning to solve different routing problems☆43Updated 3 years ago
- Reinforcement Learning tool for Network Slice Placement problems☆27Updated last year
- Dynamic multi-cell selection for cooperative multipoint (CoMP) using (multi-agent) deep reinforcement learning☆65Updated 2 years ago
- ☆245Updated 2 years ago
- Author's implementation of the paper Correlated Age-of-Information Bandits.☆13Updated 4 years ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 6 years ago
- [CLOUD'22] Learning to Dynamically Select the Optimal Scheduler in Cloud Computing Environments☆14Updated 3 years ago
- The visualization of a multi-agent reinforcement learning (MARL)-based strategy with efficient exploration strategy.☆20Updated 3 years ago
- Solving Traveling Salesman Problem with reinforcement learning...☆57Updated 6 years ago
- Hierarchical deep reinforcement learning for combinatorial optimization problem☆35Updated 6 years ago
- Code repository for the corresponding paper "Learning to Control Local Search for Combinatorial Optimization"☆16Updated last year
- Course project of SJTU EE357: Computer Network, advised by Prof. Na Ruan. We implemented and improved "A Hierarchical Framework of Cloud …☆37Updated 6 years ago
- Code for experimenting with load-balancing intradomain traffic engineering using GNNs and RL. Project as part of masters degree at the Un…☆38Updated 4 years ago
- Deep reinforcement learning for REsource Allocation in streaM processing☆30Updated 2 years ago
- Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatib…☆65Updated 3 years ago
- Multiagent deep reinforcement learning research project☆28Updated last year
- An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.☆139Updated last year
- Appendix repository for Medium article "Routing Traveling Salesmen on Random Graphs using Reinforcement Learning, in PyTorch"☆58Updated 5 years ago
- ☆25Updated 3 years ago
- [IEEE TSIPN' 2022] "Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks", by Ting-Kuei Hu, Fernan…☆14Updated 3 years ago