Tulin2010's Stars
DongChen06/MARL_CAVs
MARL for Autonomous Vehicles
FC-Li/CloudSimPy
CloudSimPy: Datacenter job scheduling simulation framework
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...
ShengrenHou/DRL-for-Energy-Systems-Optimal-Scheduling
The source code for Performance comparision of Deep RL algorithms for Energy Systems Optimal Scheduling
mail-ecnu/VMAgent
Our VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks.
liucyao/deeprm_reforement_learning
基于深度强化学习的资源调度研究
Shahid-Mohammed-Shaikbepari/Deep-Reinforcement-Learning-for-cloud
Deep Q Network model for two stage resource provisioning and task scheduling for Cloud computing
EscapeTheWind/Edge-Computing-and-Caching-Optimization-based-on-PPO-for-Task-Offloading-in-RSU-assisted-IoV
Livioni/Cloud-Workflow-Scheduling-base-on-Deep-Reinforcement-Learning
北京化工大学本科毕业设计《基于深度强化学习的云工作流调度》
DIR-LAB/deep-batch-scheduler
RLScheduler: An AutomatedHPC Batch Job Scheduler Using Reinforcement Learning [SC'20]
Zuox99/Deep-Reinforcement-Learning-Based-Resource-Provisioning-and-Task-Scheduling-for-Cloud-Service-Provid
Project: Deep Reinforcement Learning Based Resource Provisioning and Task Scheduling for Cloud Service Providers
qatshana/Cool.AI
Deep Reinforcement Learning AI Approach to Control HVAC Systems
PacktPublishing/Reinforcement-Learning-with-TensorFlow
Reinforcement Learning with TensorFlow, published by Packt
HewlettPackard/dc-rl
SustainDC is a set of Python environments for Data Center simulation and control using Heterogeneous Multi Agent Reinforcement Learning. Includes customizable environments for workload scheduling, cooling optimization, and battery management, with integration into Gymnasium.
XinyaoQiu/DRL-for-edge-computing
ZWLab23/Edge-Computing-and-Caching-Optimization-based-on-PPO-for-Task-Offloading-in-RSU-assisted-IoV
MyMirelHub/RL-Modelling
Reinforcement Task Scheduling Project
gajagajago/deepshare
Network Contention-Aware Cluster Scheduling with Reinforcement Learning (IEEE ICPADS 2023)
koshachya-myata/Data_Center_Simulation
Data Center Environment and Reinforcement Learning (RL) Control
jamesliu/nanoPPO
An efficient implementation of the Proximal Policy Optimization (PPO) algorithm with linear and attention policy for reinforcement learning.
fb1n15/edge-cloud-resource-allocation-using-MARL
bytedance/DRL-based-VM-Rescheduling
This repo contains the implementation of deep reinforcement learning (DRL) algorithms for virtual machine rescheduling in data centers.
lookguy12138/HF-MARL_AoI_MEC
for our unpublished paper
MukundKal/rl-dqn-server-optim
Minismization of server cooling costs/electricity costs using Deep-Q Reinforcment Learning (DQ RL).
HewlettPackard/green-dcc
Green-DCC is a benchmark environment for evaluating dynamic workload distribution techniques for sustainable Data Center Clusters (DCC) using reinforcement learning and other control algorithms.
DonneyF/icpp-2024-mris
FelixBin/Energy-Efficient-Task-Scheduling-In-Cloud-Data-Centers-using-DRL
FranVaquer92/Minimizing-costs-with-DRL
In this repository I have programmed a deep reinforcement learning model to minimize the costs of a data center.
TheMAbir/CQGym