xinyukk

xinyukk's Stars

• NazeerRahimBhati/F16Autopilot

  Design and Modelling a F16 Aircraft PID Autopilot Control

  2

• will214/F16FlightControl

  Assignment for course AE4301P. Development of control system for an F16 model.

  72

• lalapopa/F16-model

  F-16 nonlinear model written in Python and control angular velocity using PPO controller

  Language:Jupyter Notebook1

• AOS55/Fixedwing-Airsim

  Combines JSBSim and Airsim with a python module to simulate a fixedwing

  Language:Python7218

• JDatPNW/QPlane

  Fixed Wing Flight Simulation Environment for Reinforcement Learning

  Language:Python559

• HobbySingh/LQR-Guidance-Law

  This research contains formulation and implementation of LQR (Linear Quadratic Regulator) Guidance for ship based net recovery of fixed wing UAVs

  Language:Python132

• caglarmert/Kartal

  FlightGear JSBSIM Integration

  Language:C++52

• opt12/Markov-Pilot

  A reinforcement learning environment for aircraft control using the JSBSim flight dynamics model

  Language:Python115

• CGandGameEngineLearner/HongJun

  鸿钧：一个基于虚幻引擎和 AirSim 的仿真系统，让用户以简单轻松的配置方式搭建定制化的无人机作战环境。 本项目是鸿钧的 python 控制器，其通过 Socket 协议与由基于虚幻引擎和 AirSim 的仿真系统——鸿钧建立通讯，并控制其中仿真的无人机，进行飞行和战斗任务。用户可以使用 Python 语言编写无人机的飞行任务程序，完成无人机的编队飞行、攻击战斗、集群对抗等任务。 本团队在 AirSim 的基础上拓展出了攻击、战斗系统，可以对无人机的作战环境进行模拟，本项目可作为集群智能的训练平台，适用于无人机集群对抗、轰炸敌方目标单位等任务的人工智能训练。 该项目已被清华大学猛狮无人驾驶实验室和南京航空航天大学无人机实验室的研究生团队采用，并于人工智能仿真训练，并发表相关科研论文

  Language:Python226

• CGandGameEngineLearner/HongJunSimulator

  鸿钧：一个基于虚幻引擎和 AirSim 的仿真系统，让用户以简单轻松的配置方式搭建定制化的无人机作战环境。 本项目是鸿钧的 python 模拟器端，由Unreal4.27.2开发，其通过 Socket 协议与由基于虚幻引擎和 AirSim 的仿真系统——鸿钧建立通讯，并控制其中仿真的无人机，进行飞行和战斗任务。用户可以使用 Python 语言编写无人机的飞行任务程序，完成无人机的编队飞行、攻击战斗、集群对抗等任务。 本团队在 AirSim 的基础上拓展出了攻击、战斗系统，可以对无人机的作战环境进行模拟，本项目可作为集群智能的训练平台。

  Language:C++52

• zgoddard3/jsbsim-gym

  A Gym environment for navigation with an F-16 model simulated in JSBSim.

  Language:Python266

• under0tech/autopilot_bee_sim

  Autopilot "BEE" with target following for FPV Combat Drone (Simulator version)

  Language:Python138

• sryu1/jsbgym

  An JSBSim environment for reinforcement learning, original from https://github.com/Gor-Ren/gym-jsbsim

  Language:Python204

• stanleybak/AeroBenchVVPython

  Python Version of F-16 Maneuver Verification Benchmark

  Language:Python10749

• The-FinAI/trials

  Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierarchical reinforcement learning. It includes the code for the proposed method and experimental results on real-world stock data to demonstrate its effectiveness.

  Language:Python10426

• baifanxxx/NPMO-Rearrangement

  The code for paper 'Hierarchical Policy for Non-prehensile Multi-object Rearrangement with Deep Reinforcement Learning and Monte Carlo Tree Search'

  Language:Python171

• zrc0622/HIRL4UCAV

  highly imitative reinforcement learning for UCAV

  Language:Python112

• robin-shaun/XTDrone

  UAV Simulation Platform based on PX4, ROS and Gazebo

  Language:C++1.1k201

• Zhefan-Xu/uav_simulator

  Lightweight Gazebo/ROS-based Simulator for Unmanned Aerial Vehicles (C++/ROS/PX4)

  Language:C++112

• zzzzzyh111/gazebo_uav_RL

  obstacle detection and avoidance for UAV via gazebo

  Language:Python302

• burkap/swarm

  formation control of a swarm of UAVs in simulation

  Language:Python333

• lee-shun/fixed_wing_formation_control

  Fixed-Wing UAV Formation Controller Design and Implementation

  Language:C++6015

• superboySB/AirGroundSim

  基于最新绝版Airsim修改，搜罗网上所有助于落地的改进，并同时仿真车辆和无人机，以支持学术界空地协同相关研究

  Language:C++51

• 6drf21e/ChatTTS_colab

  🚀 一键部署（含离线整合包）！基于 ChatTTS ，支持流式输出、音色抽卡、长音频生成和分角色朗读。简单易用，无需复杂安装。

  Language:Python1.7k207

• pytorch/rl

  A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

  Language:Python2k271

• Gor-Ren/gym-jsbsim

  A reinforcement learning environment for aircraft control using the JSBSim flight dynamics model

  Language:Python16384

• 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:Python984119

• lucidrains/q-transformer

  Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind

  Language:Python30816

• DLR-RM/stable-baselines3

  PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

  Language:Python8.4k1.6k

• Apress/Reinforcement-Learning-for-Sequential-Decision-and-Optimal-Control

  Source Code

  Language:Python11020