nangszml

nangszml's Stars

• tensorflow/docs

  TensorFlow documentation

  Language:Jupyter Notebook6.1k22205.3k

• MLNLP-World/Top-AI-Conferences-Paper-with-Code

  MLNLP: This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code

  2.6k751603

• ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL

  无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

  2k35123653

• AFNANAMIN/Resource-Allocation-using-deeprl

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

  Language:Python983628

• QianLiu6767/UAV_RL_Maximize_Throughput

  UAV-based MEC to maximize user throughput via reinforcement learning

  Language:Python923324

• locnd-172/IBM-Data-Engineer-Specialization-Coursera-Personal-Note-Public

  All of my individual learning materials, documents, and notes from the process of getting the Coursera IBM Data Engineer Professional Certificate specialization are stored in this repository.

  Language:Jupyter Notebook821054

• sinannasir/Spectrum-Power-Allocation

  Deep Reinforcement Learning for Joint Spectrum and Power Allocation in Cellular Networks code

  Language:Python753121

• kangcp/qfnet

  《Power Allocation in Multi-cell Networks Using Deep Reinforcement Learning》论文复现

  Language:Python668327

• cly1994jlu/UARA-DRL

  This repository contains the implementation codes of deep reinforcement learning (DRL) in user association and resource allocation in heterogenous networks. The model is basd on deep-Q-network (DQN) and DDQN.

  Language:Python652221

• CN-UPB/DeepCoMP

  Dynamic multi-cell selection for cooperative multipoint (CoMP) using (multi-agent) deep reinforcement learning

  Language:Python588313

• LiuJieShane/UARA

  J. Liu, X. Tao and J. Lu, "Mobility-Aware Centralized Reinforcement Learning for Dynamic Resource Allocation in HetNets," accepted by IEEE GLOBECOM 2019.

  Language:Python582521

• kien-vu/Joint-User-Association-and-In-band-Backhaul-Scheduling-and-in-5G-mmWave-Networks

  Matlab Simulation for T. K. Vu, M. Bennis, S. Samarakoon, M. Debbah and M. Latva-aho, "Joint In-Band Backhauling and Interference Mitigation in 5G Heterogeneous Networks," European Wireless 2016; 22th European Wireless Conference, Oulu, Finland, 2016, pp. 1-6. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7499273&isnumber=7499250

  Language:MATLAB416121

• sinannasir/Power-Control-asilomar

  Asilomar 2020 code for Deep Actor-Critic Learning for Distributed Power Control in Wireless Mobile Networks

  Language:Python404114

• Kiven-ykw/DHDRL

  Distributed Two-tier DRL Framework for Cell-Free Network: Association, Beamforming and Power Allocation

  Language:Python37128

• NetworkCommunication/LMO-DDPG_WZJ

  An optimized DDPG algorithm for autonomous path planning of UAV in network-unavailable environment

  Language:Python29105

• Phuong86/uav-deep-q

  This is the source code using deep Q learning for calculate UAV resource allocation

  Language:MATLAB28139

• yang05941601/UAV-Navigation-Learning

  Language:Python272112

• subratpp/mec_alloc_rl

  User allocation in Mobile Edge Computing Environment using Reinforcement Learning

  Language:Jupyter Notebook26205

• HaodongLi20/Paper-code-for-Machine-Learning-based-Wireless-Communication-Optimization-Problems

  A collection for Paper/code for Wireless Communication Optimization Problems with PyTorch based DL

  24208

• chikaihsieh/Power-Allocation-and-User-Device-Association-with-Deep-Reinforcement-Learning

  Language:Python182103

• ruihuili/DRL_UAV_CellularNet

  Simulator developed for the mobility management of UAV base stations project featuring A3C

  Language:Jupyter Notebook132010

• yzhang417/DeepRL-mmWave-MANET

  In this work, reinforce learning techniques like Deep Reinforcement Learning (PPO) and Multi-armed bandit are exploited to design mmWave MANET user scheduling and transmission configuration.

  Language:Python6112

• IIT-Lab/Spectrum-Power-Allocation

  Deep Reinforcement Learning for Joint Spectrum and Power Allocation in Cellular Networks code

  Language:Python5105

• jainakshay91/UserAssociation

  This repository consists of codes for the Policy based User Association method that is being developed

  Language:Python5122

• yyds-xtt/AFLDDPG

  * Wu Q, Wang S, Fan P, et al. Deep Reinforcement Learning Based Vehicle Selection for Asynchronous Federated Learning Enabled Vehicular Edge Computing[J]. arXiv preprint arXiv:2304.02832, 2023. 链接： https://arxiv.org/abs/2304.02832 代码： https://github.com/qiongwu86/AFLDDPG

  Language:Python5000

• userjiajia-1228/Allocation-policy-ddpg

  Language:Python41

• yyds-xtt/UAV-A3C

  using actor-critic method to dealing with the path-planning UAV problem

  Language:Python100