{"repo":"alperenkbd/AircraftFighterSimulationUsingMachineLearning","free":true,"listed":false,"github":"https://github.com/alperenkbd/AircraftFighterSimulationUsingMachineLearning","clone":"git clone https://github.com/alperenkbd/AircraftFighterSimulationUsingMachineLearning.git","description":"Nowadays Using machine learning methods at simulations systems has been gaining importance with spreading and growing machine learning methods. The main purpose of using simulations get a big gain because of can cause of lots of material and spiritual damages. Simulations can use in the military sector as can use in too diverse areas. developing projects in the defense industry mostly develop as closed source code. So can see open source development in the defense industry is necessary. we build a project that responds to these problems. the project uses web API for getting weather in real-time and uses system time for get three times of the day. uses twelve different simulation environments from three times four. uses Reinforcement learning for training enemy planes. The main motivation for using RL in the project is a success. Used Unity3D game engine, C#(generally) language and Unity Toolkits(MLagents, postprocessing). The aim of authorized persons using aircraft is to destroy the enemy aircraft. The Simulation is supported in English and Turkish. Also developed as supporting other languages structure. The using main aircraft person can control with Arduino-based joystick and keyboard horizontal, vertical buttons.","language":"C#","stars":27,"topics":["reinforcement-learning","simulation","machine-learning","game-development","serious-game","webapi","unity3d","mlagents","postprocessing","shader"],"license":null,"category":"machine-learning","readme_excerpt":"Aircraft Fighter Simulation Using Machine Learning ---------------------------------------------------- CONTENTS - Summary of project - Introduction - Aim And Emphasis Of Project - Creative and unique side of project - Technology Stack Of Project - Material and methods - Results - Conclusion and discuss - Suggestions - Resources Summary of Project Project name: Aircraft Fighter Simulation Using Machine Learning Machine learning is becoming increasingly important in simulation systems. The primary goal of using simulations is to prevent large material and financial losses. Simulations are applied in the military sector as well as many civilian domains. Because most defense‑industry development is closed‑source, there is a clear need for open‑source projects in this area. We built a project to address these problems. The system fetches real‑time weather via a web API and uses the system clock to determine three times of day. It supports twelve distinct simulation environments (3 × 4) and uses reinforcement learning (RL) to train enemy aircraft — RL was chosen for its proven effectiveness. The project is implemented in Unity3D with C# (primarily) and uses Unity toolkits such as ML‑Agents and the Post‑Processing stack. The authorised pilot’s objective is to destroy enemy aircraft. The simulation currently supports English and Turkish and is architected to add more languages easily. Primary aircraft controls are available via an Arduino‑based joystick and via keyboard (horizontal ","default_branch":null,"files":null,"tree":[],"storefront":"/r/alperenkbd","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/alperenkbd/AircraftFighterSimulationUsingMachineLearning/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}