QuanyiLi / MADDPG-Congestion-Control-Based-on-OMNETPP
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:
- The visualization of a multi-agent reinforcement learning (MARL)-based strategy with efficient exploration strategy.☆19Updated 2 years ago
- Codes for the paper "AoI Aware Radio Resource Management of Autonomous Platoons via Multi Agent Reinforcement Learning"☆21Updated 2 years ago
- Actor critic reinforcement learning + motion and task planning under LTL tasks + wireless sensor network routing☆13Updated 4 years ago
- CoOP: V2V-based Cooperative Overtaking for Platoons on Freeways☆10Updated 3 years ago
- Some multiagent deep reinforcement learning algorithms and its PyTorch implementation.☆12Updated 5 years ago
- Simulation code for the paper "Joint Resource Allocation and String-Stable CACC Design with Multi-Agent Reinforcement Learning"☆12Updated 2 years ago
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆19Updated 6 years ago
- Multi-agent reinforcement learning programs based on Game theory☆39Updated 2 years ago
- Developed a Multi-Agent DDPG to solve Vehicle Scheduling problem.☆13Updated 2 years ago
- Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)☆38Updated 6 years ago
- DeepCoord: Self-Learning Network and Service Coordination Using Deep Reinforcement Learning☆27Updated 2 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆50Updated 6 years ago
- A vehicular network simulator (SUMO+ns-3) encapsulated behind Gym API (OpenAI-Gym), which allows users to evaluate RL-enhanced vehicular …☆36Updated 3 years ago
- Code for "Context-aware Communication for Multi-agent Reinforcement Learning"☆20Updated last year
- using actor-critic method to dealing with the path-planning UAV problem☆18Updated 5 years ago
- An implementation for CVRP problem with A3C+Attention mechanism and GCN☆17Updated 5 years ago
- [INFOCOM 2022] AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning☆51Updated 2 years ago
- [INFOCOM 2020] Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach☆14Updated 3 years ago
- Fully Cooperative Multi-Agent Deep Reinforcement Learning☆26Updated 5 years ago
- The Incremental Deployment Method of Segment Routing over an IPv6 (SRv6) Network Based on Graph Neural Network (GNN) and Multi-Agent Rein…☆11Updated 3 months ago
- Energy-Efficient Routing Based on Reinforcement Learning☆13Updated 2 years ago
- The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive …☆14Updated 3 years ago
- This repository contains the Python implementation of our submitted paper titled "Deep Reinforcement Learning for Joint Trajectory and Co…☆12Updated 10 months ago
- Simulator for evaluating cloud/edge requests from connected vehicles and computing statistical analysis of the input network☆10Updated 7 years ago
- Reinforcement Learning Algorithm for Packet Routing☆11Updated 4 years ago
- Distributed Online Service Coordination Using Deep Reinforcement Learning☆19Updated last year
- ☆17Updated 7 years ago
- A network simulation tool for V2X in 5G. The networking operation is built on python. We utilize Eclipse SUMO (Simulation of Urban MObil…☆17Updated 2 years ago
- Package wrote python to solve dynamic Stackelberg game with constraints. Based on ECC 2019 accepted paper titled "Linear quadratic Stacke…☆13Updated 5 years ago
- ☆30Updated last year