nanyixu

nanyixu's Stars

• MorvanZhou/Reinforcement-learning-with-tensorflow

  Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

  Language:Python8.8k2871935k

• thu-ml/tianshou

  An elegant PyTorch deep reinforcement learning library.

  Language:Python7.8k917381.1k

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

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

  Language:Python3.9k3534841

• AI4Finance-Foundation/ElegantRL

  Massively Parallel Deep Reinforcement Learning. 🔥

  Language:Python3.6k51252833

• floodsung/DDPG

  Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow

  Language:Python5501718176

• LenaShengzhen/AerialRobotics

  Simulate the path planning and trajectory planning of quadrotors/UAVs.

  Language:MATLAB14721124

• TakaHoribe/trajectory_tracking_simulation

  Language:MATLAB1444244

• chuanstudyup/AUV-Path-Following-Simulation

  A 3D path following simulation for autonomous underwater vehicle on Matlab/Simulink

  Language:MATLAB93248

• lamfur07/Flight-Dynamics-and-Control-UAVs

  Understanding of flight control systems, including dynamic models for UAVs, low level autopilot design, trajectory following, and path planning. The essential physics and sensors of UAV problems, including low-level autopilot for stability and higher-level autopilot functions of path planning will be explored. Rigid-body dynamics through aerodynamics, stability augmentation, and state estimation using onboard sensors, to maneuvering through obstacles. Files include simulation projects using the MATLAB/Simulink environment. Projects start from modeling rigid-body dynamics, then add aerodynamics and sensor models. Furthermore, low-level autopilot code, extended Kalman filters for state estimation, path-following routines, and high-level path-planning algorithms.

  Language:MATLAB643112

• alexdada555/Modelling-Simulation-and-Implementation-of-Linear-Control-for-Asymmetric-Multirotor-UAVs

  Master's Thesis Project: Design, Development, Modelling and Simulating of a Y6 Multi-Rotor UAV, Imlementing Control Schemes such as Proportional Integral Derivative Control, Linear Quadratic Gaussian Control and Model Predictive Control on a BeagleBone Blue

  Language:MATLAB592017

• alexglzg/gym-usv

  OpenAI gym environment of an Unmanned Surface Vehicle.

  Language:Python412110

• gitter-badger/ReliefF

  Implementations of the Relief family of feature selection algorithms.

  Language:Python3240

• camillasterud/gym-auv

  OpenAI gym environment for collision avoidance and path following with an AUV

  Language:Python270214

• wangtuntun/MachineLearning_Ass2

  神经网络的实现，包括bp神经网络和rbf神经网络

  Language:Python1843

• XDU-Educational-UAV/Drone_Simulation

  Matlab simulation of educational UAV (PID Version)

  Language:MATLAB156

• hjl-up/uav_pid

  四旋翼pid控制simulink模型

  146

• simentha/gym-auv

  OpenAI gym environment for collision avoidance and path following with an AUV

  Language:Python143