nangszml

nangszml's Stars

• extreme-assistant/CVPR2024-Paper-Code-Interpretation

  cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

  12.5k371842.3k

• fangvv/UAV-DDPG

  Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

  Language:Python4596078

• philtabor/Actor-Critic-Methods-Paper-To-Code

  Language:Python18210675

• haoyye/ResourceAllocationReinforcementLearning

  intial version

  Language:Python15111466

• YouhuiGan/UAV_DDPG

  Trajectory Optimization and Computing Offloading Strategy in UAV-Assisted MEC System

  Language:Python1201110

• lucasanguinetti/Deep-Learning-Power-Allocation-in-Massive-MIMO

  This is the code package related to the follow scientific article: Luca Sanguinetti, Alessio Zappone, Merouane Debbah 'Deep-Learning-Power-Allocation-in-Massive-MIMO' presented at the Asilomar Conference on Signals, Systems, and Computers, 2018. http://www.asilomarsscconf.org

  Language:MATLAB865150

• whalewang410/Energy-Efficient_UAV_Communication_With_Trajectory_Optimization

  Language:MATLAB59317

• xuxiaoli-seu/SNARM-UAV-Learning

  The Python code for simultaneous navigation and radio mapping for cellular-connected UAV with deep reinforcement learning

  Language:Python581117

• STAR-Yuanwei-Liu/Deep-Reinforcment-Learning

  This is the repository for the deep reinforcement learning in classic and novel wireless communication scnarios.

  Language:Python491217

• PeymanTehrani/FDRL-PC-Dyspan

  Language:Python44124

• jediofgever/UAV

  this repository contains some useful matlab simulınk files for uav sensors simulation , kalman filter propogation and autopilot implementation. equations and all mathematical model considered here is referred to this http://uavbook.byu.edu/doku.php book.

  Language:MATLAB344110

• cekbote/optimal_uav_placement_and_communication

  This repo contains the code for the project Optimal UAV Placement and Communication.

  Language:HTML28127

• alexis-anzaldo/Deep-Reinforcement-Learning-for-resource-allocation-in-wireless-networks

  Language:Python27102

• Zakir1971/Deep-Reinforcement-Learning-Python

  Deep Reinforcement Learning Based Dynamic Resource Allocation in 5G Ultra-Dense Networks

  Language:Python27148

• Chan1998/communication-Based-on-DL

  https://github.com/zhuwenxing/Paper-with-Code-of-Wireless-communication-Based-on-DL.git

  26604

• Fzk1203/MARL_UAV

  This repository implements the proposed method from IEEE 2020 Paper Multi-Agent Reinforcement Learning Based Resource Allocation for UAV Networks

  Language:Jupyter Notebook22113

• muhd-umer/rl-wireless

  RL-Wireless: Reinforcement learning-based resource allocation in wireless networks

  Language:Python22204

• saugat76/UAV_Subband_Allocation_DQN_Pytorch

  Language:Python20222

• ducmngx/DDPG-UAV-Efficiency

  Using DDPG agent to control UAV system with energy efficiency

  Language:Python17112

• liuchunhui2134/Resource-allocation-and-route-plannig-for-UAVs

  Language:Python16104

• suspendisse02/Path-planning-of-UAV-group-based-on-DDQN

  The objectives is to maximize the coverage rate in a specific area.

  Language:Python16001

• ZeeshanKaleem/Unmanned-Air-Vehicles-UAV-Simulator-for-Placement-and-Power-Allocation-

  Unmanned Air Vehicles (UAV) Simulator with Machine Learning

  Language:MATLAB16112

• FIVEYOUNGWOO/DQN-Based-Power-Allocation-For-Multi-Cell-Massive-MIMO

  Deep Q network-based power allocation for multi-cell massive MIMO cellular network.

  Language:Jupyter Notebook15117

• Steffengra/resourceallocation

  Language:Python14127

• saugat76/uav_nw_madql_connectivity_tensorflow

  Allocation of the resource blocks to the ground user for distributed UAV based cellular system with only the transfer of reward values. Additional improvement over the other setup by the use of Deep Q Learning approach.

  Language:Python13126

• tdrmk/VLCSimlutaion

  Simulating Visible Light Communication Performance with Relay using Different Encoding Schemes

  Language:MATLAB13114

• DreamweaverU/DRL-HAPS-UAV-Enabled-HeNets

  HAPS-UAV-Enabled Heterogeneous Networks: A Deep Reinforcement Learning Approach

  Language:Python10100

• dpmendes/pytelcosim

  Basing off from a 5G infrastructure with mmWave, Ultra Dense Networks, Integrated Access and Backhaul, network slicing, and users scheduling (for now), this simulator will focus on calculating throughput and delays achieved in cellular networks.

  Language:Python4313

• yimingzhang2026/RL-for-scheduling-power-allocation-and-rate-adaptation

  This is the code for arXiv paper REINFORCEMENT LEARNING FOR SCHEDULING, POWER CONTROL, AND RATE ADAPTATION

  Language:Python2

• ycyzjluhx/ls_brain

  EEG signal processing and machine learning package

  Language:MATLAB1100