jin521-qing

jin521-qing's Stars

• sumitsk/HER

  PyTorch Implementation of Hindsight Experience Replay

  Language:Python41

• TianhongDai/hindsight-experience-replay

  This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

  Language:Python39275

• Emmanuel-Naive/MATD3

  Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships

  Language:Python454

• Lizhi-sjtu/MARL-code-pytorch

  Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.

  Language:Python41754

• LinghengMeng/LSTM-TD3

  The implementation of LSTM-TD3.

  Language:Python608

• jin521-qing/Multi-Agent-Reinforcement-Learning

  PyTorch MADDP vs. DDPG

  2

• philtabor/Multi-Agent-Reinforcement-Learning

  PyTorch implementations of MADDPG, MAPPO (coming)

  Language:Python6610

• liyiying/meta-MADDPG

  meta-MADDPG (Python implementation)

  Language:Python173

• zjost/blog_code

  A repo for holding example code

  Language:Jupyter Notebook14675

• alibaba/clusterdata

  cluster data collected from production clusters in Alibaba for cluster management research

  Language:Jupyter Notebook1.6k405

• jiechuanjiang/pytorch_DGN

  The pytorch implementation of DGN on grid world and Starcraft

  Language:Python13134

• PKU-RL/DGN

  DGN Code

  Language:Python33389

• RaffaeleGalliera/melissa

  A Multi-Agent Reinforcement Learning Environment for Information Dissemination based on Graph Convolutional Reinforcement Learning

  Language:Python6

• Abluceli/H2G-MAAC

  The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive Environments"

  Language:Python122

• paulalmasan/DRL-GNN-PPO

  PPO implementation of the DRL agent used in the paper "Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case"

  Language:Python708

• Jerry-Github-Cloud/IEEE-ICCE-RL-JSP

  Deep Reinforcement Learning Based on Graph Neural Networks for Job-shop Scheduling

  Language:Python245

• 99731/M2GRL

  A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"

  Language:Python9723

• XinyaoQiu/DRL-for-edge-computing

  Language:Python273

• arshren/Reinforcement_Learning

  RL Algorithms

  Language:Jupyter Notebook131

• huzheyuan740/DEAT

  DRL-based environment-adaptive offloading framework

  Language:Python62

• yyds-xtt/Distributed-MADDPG

  Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.

  2

• yyds-xtt/Task-Offloading-and-Resource-Allocation-for-Multi-Server-Mobile-Edge-Computing-Networks

  21

• yyds-xtt/RL_GNN

  一个基于图神经网络的强化学习网络资源分配模型

  1

• yyds-xtt/DRL-for-edge-computing

  62

• yyds-xtt/DEAT

  Achieving Fast Environment Adaptation of DRL-Based Computation Offloading in Mobile Edge Computing

  31

• oxwhirl/pymarl

  Python Multi-Agent Reinforcement Learning framework

  Language:Python1.8k382

• lansinuote/More_Simple_Reinforcement_Learning

  Language:Jupyter Notebook27765

• EscapeTheWind/Edge-Computing-and-Caching-Optimization-based-on-PPO-for-Task-Offloading-in-RSU-assisted-IoV

  Language:Python509

• sjk00000001/task-offloading

  Language:Go62

• sling0318/Multi-Agent-Mec_Offloading-Use_DRL

  使用Drl来解决多智能体卸载问题

  Language:Python9912