Tulin2010's Stars
oxwhirl/wqmix
Code for Weighted QMIX
jianzhnie/deep-marl-toolkit
MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT...
fb1n15/edge-cloud-resource-allocation-using-MARL
jamesliu/nanoPPO
An efficient implementation of the Proximal Policy Optimization (PPO) algorithm with linear and attention policy for reinforcement learning.
RvuvuzelaM/self-attention-ppo-pytorch
I used this paper as inspiration https://arxiv.org/pdf/1904.03367.pdf
oxwhirl/pymarl
Python Multi-Agent Reinforcement Learning framework
lifwen/TempoScale
A work published in 2024 IEEE 17th International Conference on Cloud Computing (CLOUD).
beloglazov/planetlab-workload-traces
A set of CPU utilization traces from PlanetLab VMs collected during 10 random days in March and April 2011
GeorgeCodeHub/Analysis-and-prediction-of-air-pollution-using-BiLSTM-Conv1D
The goal was to use Neural Networks to predict future values from historical data in specific locations. In the context of this master thesis, 6 research papers were studied for the different types of neural network models on data related to air pollution and time series forecasting.
Lavanya-Sathya/Dataset
CPU Usage dataset
alibaba/clusterdata
cluster data collected from production clusters in Alibaba for cluster management research
ai-boost/Awesome-GPTs
Curated list of awesome GPTs 👍.
datvodinh/recurrent-ppo
A Reinforcement Learning Project using PPO + LSTM
gml16/rl-medical
Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.
anubhavpatrick/Medical-Image-Classification-using-Deep-Reinforcement-Learning
This repository is made for medical image classification using Deep Reinforcement Learning
skydvn/DRL-CDC
This is an instant noodle implementation of "Adaptive Task Offloading in Coded Edge Computing: A Deep Reinforcement Learning Approach"
qiongwu86/Edge-Caching-Based-on-Multi-Agent-Deep-Reinforcement-Learning-and-Federated-Learning
qlt315/UCMEC_env
Deep Reinforcement Learning Environments for User-Centric Mobile Edge Computing
revenol/DDLO
Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks
tranlenam/Task-Offloading-MEC-NOMA
Simulation code for"A Max-Min Task Offloading Algorithm for Mobile Edge Computing Using Non-Orthogonal Multiple Access," IEEE Trans. Veh. Technol., vol. 72, no. 9, pp. 12332 - 12337, Sep. 2023 by V. Kumar, M. F. Hanif, M. Juntti, and L.-N. Tran
yyds-xtt/DRL-MEC
Dynamic Task Software Caching-Assisted Computation Offloading for Multi-Access Edge Computing
linkpark/metarl-offloading
yjwong1999/Twin-TD3
IEEE WCNC 2023: Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surfaces
monimoyd/EndGameAssignment
In this project a car agent is trained to to drive in City Road and reach destination given a City Map using TD3 Deep Reinforcement Learning Algorithm with LSTM
GiacomoPracucci/RL-edge-computing
Reinforcement learning for load distribution in a decentralized Edge environment. This is the implementation of my Master's thesis project for the Data science course (October 2023).
nash911/mec_rl
RL and MARL from Mobile Edge Computing Load Optimization
linkpark/RLTaskOffloading
yyds-xtt/DRL-TOBS
Codes for the paper titled Online Joint Task Offloading and Resource Management in Heterogeneous Mobile Edge Environments.
ZWLab23/Asynchronous-DRL-based-Multi-Hop-Task-Offloading-in-RSU-assisted-IoV-Networks
xuaikun/QDRL
Source Code of QDRL: Queue-aware Online DRL for Computation Offloading in Industrial Internet of Things