QuanyiLi / MADDPG-Congestion-Control-Based-on-OMNETPPLinks
We implement MADDPG in a congestion env, and compare with several control groups to highlight the performance of MADDPG
☆11Updated 3 years ago
Alternatives and similar repositories for MADDPG-Congestion-Control-Based-on-OMNETPP
Users that are interested in MADDPG-Congestion-Control-Based-on-OMNETPP are comparing it to the libraries listed below
Sorting:
- Codes for the paper "AoI Aware Radio Resource Management of Autonomous Platoons via Multi Agent Reinforcement Learning"☆21Updated 2 years ago
- The visualization of a multi-agent reinforcement learning (MARL)-based strategy with efficient exploration strategy.☆19Updated 2 years ago
- CoOP: V2V-based Cooperative Overtaking for Platoons on Freeways☆10Updated 3 years ago
- Actor critic reinforcement learning + motion and task planning under LTL tasks + wireless sensor network routing☆13Updated 4 years ago
- Simulation code for the paper "Joint Resource Allocation and String-Stable CACC Design with Multi-Agent Reinforcement Learning"☆12Updated 2 years ago
- An Autonomous UAV Assisted Communication in Remote Disaster Area using Imitation Learning (Behavioral Cloning)☆18Updated 4 years ago
- Energy-Efficient Routing Based on Reinforcement Learning☆13Updated 3 years ago
- Decision making using Reinforcement Learning☆22Updated 5 years ago
- This is the code for paper: Scalable Federated Multi-agent Architecture forNetworked Communication Scenarios☆20Updated 3 years ago
- Code used for the master thesis at MIIS (UPF)☆16Updated 8 years ago
- Simulator for evaluating cloud/edge requests from connected vehicles and computing statistical analysis of the input network☆10Updated 7 years ago
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆20Updated 6 years ago
- Decentralized Scheduling for Cooperative Localization with Deep Reinforcement Learning☆34Updated 6 years ago
- Code for IEEE GLOBECOM 2023 paper "Caching for Edge Inference at Scale: A Mean Field Multi-Agent Reinforcement Learning Approach".☆12Updated last year
- This repository contains the Python implementation of our submitted paper titled "Deep Reinforcement Learning for Joint Trajectory and Co…☆13Updated 11 months ago
- Dynamic multi-cell selection for cooperative multipoint (CoMP) using (multi-agent) deep reinforcement learning☆63Updated last year
- The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive …☆14Updated 3 years ago
- ☆34Updated 7 years ago
- Some multiagent deep reinforcement learning algorithms and its PyTorch implementation.☆13Updated 5 years ago
- Testing different RL algorithms for multi-agent environments. From SARSA, QLearning to Independent Q-Learning, Joint Action Learning and …☆11Updated 6 years ago
- meta-MADDPG (Python implementation)☆18Updated 6 years ago
- Reinforcement learning environment for MIMO communications.☆14Updated 3 years ago
- Reinforcement Learning for Self Organization and Power Control of Two-Tier Heterogeneous Networks☆20Updated 5 years ago
- a q-learning algorithms on packet routing.☆14Updated 6 years ago
- This framework is for resource allocation in C-V2X Mode 4☆16Updated 3 years ago
- Energy-Spectral Efficiency Optimization in Vehicular Communications: Joint Clustering and Pricing-based Robust Power Control Approach☆14Updated 4 years ago
- Federated Deep Reinforcement Learning for Swarm Robotic Systems☆10Updated 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
- GitHub for the article Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB traffic (Fabio Saggese, Luca Pasqua…☆18Updated 4 years ago
- Project regarding Resource allocation using RL☆20Updated 4 years ago