shen-shan

shen-shan's Stars

• thu-ml/tianshou

  An elegant PyTorch deep reinforcement learning library.

  Language:Python7.8k1.1k

• starry-sky6688/MARL-Algorithms

  Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

  Language:Python1.4k279

• Farama-Foundation/PettingZoo

  An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

  Language:Python2.6k407

• DLR-RM/rl-baselines3-zoo

  A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

  Language:Python2k506

• DLR-RM/stable-baselines3

  PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

  Language:Python8.7k1.7k

• monkeyhlj/springboot-vue

  简单搭建基于Springboot+Vue的小项目

  Language:JavaScript102

• moranzcw/Computer-Networking-A-Top-Down-Approach-NOTES

  《计算机网络－自顶向下方法(原书第6版)》编程作业，Wireshark实验文档的翻译和解答。

  Language:Python5k1.2k

• qlt315/JO-CDSD

  Simulation code of our paper in IEEE Transactions on Mobile Computing: ''Joint Optimization of Base Station Clustering and Service Caching in User-Centric MEC''

  Language:MATLAB407

• qiongwu86/Edge-Caching-Based-on-Multi-Agent-Deep-Reinforcement-Learning-and-Federated-Learning

  Language:Python426

• DhrubaDC1/deep-learning-caching

  Deep learning based predictive analytics for efficient content caching in edge network

  Language:Python174

• emylincon/caching_project

  implementation of cooperative caching algorithm for edge computing

  Language:Python155

• gargrohin/Edge-Caching-Algorithms

  Edge caching algorithms for dense small cell networks. Research Project under NYU

  Language:Python245

• emylincon/caching

  implementation of Prediction, Collaborative and Replacement (PCR) caching algorithm for edge computing

  Language:Python4810

• davidtw0320/Resources-Allocation-in-The-Edge-Computing-Environment-Using-Reinforcement-Learning

  Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers

  Language:Python316100

• revenol/DROO

  Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks

  Language:Python531190

• revenol/DDLO

  Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks

  Language:Python24584

• LantaoYu/MARL-Papers

  Paper list of multi-agent reinforcement learning (MARL)

  4k720

• oxwhirl/pymarl

  Python Multi-Agent Reinforcement Learning framework

  Language:Python1.8k380

• openai/multi-agent-emergence-environments

  Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"

  Language:Python1.6k302

• MorvanZhou/Reinforcement-learning-with-tensorflow

  Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

  Language:Python8.8k5k

• sweetice/Deep-reinforcement-learning-with-pytorch

  PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

  Language:Python3.9k841

• hungtuchen/pytorch-dqn

  Deep Q-Learning Network in pytorch (not actively maintained)

  Language:Python384108

• openai/baselines

  OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

  Language:Python15.6k4.9k

• Kaixhin/Rainbow

  Rainbow: Combining Improvements in Deep Reinforcement Learning

  Language:Python1.6k282

• araffin/rl-baselines-zoo

  A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

  Language:Python1.1k208

• thuiar/MIntRec

  MIntRec: A New Dataset for Multimodal Intent Recognition (ACM MM 2022)

  Language:Python7212

• callmePicacho/Data-Structres

  浙江大学《数据结构》上课笔记 + 数据结构实现 + 课后题题解

  Language:C++3.2k497