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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.

C# 78.84% ShaderLab 21.16%
reinforcement-learning simulation machine-learning game-development serious-game webapi unity3d mlagents postprocessing shader

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