qiqi-777

qiqi-777's Stars

• shkrwnd/Deep-Reinforcement-Learning-for-Dynamic-Spectrum-Access

  Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication

  Language:Jupyter Notebook22597

• liangshuoying/test

  UAV_Panda3d_deep_reinforcement_learning

  Language:Python4

• Sghambari/TLBO-UAV

  Unmanned Aerial Vehicles (UAVs) have demonstrated their usefulness in both military and civilian applications for various missions. In recent years, more and more studies focus on enhancing their intelligence and autonomy level. In this study we proposed an improved version of teaching learning based optimization (TLBO) algorithm for solving offline UAV path planning problem. Experiments are conducted on a set of scenarios in two-dimension (2D) and three-dimension (3D) environments.

  81

• xuxiaoli-seu/SNARM-UAV-Learning

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

  Language:Python5417

• nicolaslopezbravo/UAV-Path-Planning

  A Deep Learning Approach to UAV Path Planning

  Language:Python6216

• QianLiu6767/UAV_RL_Maximize_Throughput

  UAV-based MEC to maximize user throughput via reinforcement learning

  Language:Python8824

• navuboy/rl_ardrone

  Autonomous Navigation of UAV using Reinforcement Learning algorithms.

  Language:Python19153

• khinthandarkyaw98/Optimizing-UAV-trajectory-for-maximum-data-rate-via-Q-Learning

  During our participation in the Internship Exchange Program, my friend and I collaborated with the guidance of our esteemed supervisor from NTHU.

  Language:Python332

• ruihuili/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

  71

• ruihuili/DRL_UAV_CellularNet

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

  Language:Jupyter Notebook1310