314-car

314-car's Stars

• r35y35/DNN_D_RIS

  DRL-Based Transmission Design for Distributed STAR-RIS-aided Communications (IEEE International Conference on Advanced Networks and Telecommunications Systems)

  Language:Python184

• WiCi-Lab/MTN

  Channel Estimation for STAR-RIS Systems

  Language:Python173

• Aswini-krishnan/Aswini-STAR-IRS

  Language:MATLAB1

• Jingliang-Duan/DSAC-v2

  DSAC-v2; DSAC-T; DASC; Distributional Soft Actor-Critic

  Language:Python25526

• XinJingHao/SAC-Continuous-Pytorch

  a clean and robust Pytorch implementation of SAC on continuous action space

  Language:Python6215

• XinJingHao/DRL-Pytorch

  Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

  Language:Python1.5k188

• agi-brain/xuance

  XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

  Language:Python658108

• QiangLong2017/Deep-Reiforcement-Learning

  Language:Python5714

• KuangenZhang/ATD3

  Language:Python7

• Mycenae/PaperWeekly

  Papers for CNN, object detection, keypoint detection, semantic segmentation, medical image processing, SLAM, etc.

  29064

• snowztail/riscatter-unifying-backscatter-communication-and-reconfigurable-intelligent-surface

  RIScatter is a batteryless cognitive radio that recycles ambient signal for backscatter modulation and passive beamforming.

  Language:TeX8

• jaystone776/python-data-science-cheatsheet

  Python数据科学速查表

  955398

• HaiboMei/UAV-RIS-DRL

  Language:Python7423

• QianLiu6767/UAV_RL_Maximize_Throughput

  UAV-based MEC to maximize user throughput via reinforcement learning

  Language:Python8824

• Xy0922X/UAV-RIS-MEC

  uav-mec

  Language:Python10

• LacoLuo/ISAC-Backscatter

  ISAC with Backscattering RFID Tags: Joint Beamforming Design

  Language:MATLAB92

• vincen-github/mlimpl

  This repository collects some codes that encapsulates commonly used algorithms in the field of machine learning. Most of them are based on Numpy, Pandas or Torch. You can deepen your understanding to related model and algorithm or revise it to get the customized code belongs yourself by referring to this repository.

  Language:Shell414110

• miss-mumu/developer2gwy

  公务员从入门到上岸，最佳程序员公考实践教程

  8.8k759

• 15738897318/Twin-TD3

  IEEE WCNC 2023: Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surfaces

  1

• Brook1711/WCL-pulish-code

  simulation for https://ieeexplore.ieee.org/document/9434412

  Language:Python226

• Haoran-Peng/UAV-RIS_EH_DDPG

  Language:Python6922

• MorvanZhou/Reinforcement-learning-with-tensorflow

  Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

  Language:Python8.9k5k

• ken0225/RIS-Codes-Collection

  RIS-Codes-Collection: A Complete Collection contains the Codes for RIS(IRS) Researches.

  1.1k228

• yjwong1999/Twin-TD3

  IEEE WCNC 2023: Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surfaces

  Language:Python8819

• fei-tong/AODV-in-OPNET

  AODV in OPNET 14.5

  Language:C144

• ZacharyJia/opsdn

  Language:Python634

• MakiNaruto/Automatic_ticket_purchase

  大麦网抢票脚本

  Language:Python4.4k843

• arkingc/note

  学习笔记整理📚

  Language:C++2k632

• CyC2018/CS-Notes

  :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

  178k51.1k