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It is intended to be trained using Reinforcement Learning algorithms that aim to ensure drone stabilization in realistic physical conditions, using the AirSim plug-in on the Unreal Engine platform.

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MIT license
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oyelmali/AirSim-Project-with-DRL-algorithms

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How to Install and Execute:

Install

  1. Anaconda and miniconda package managers should be installed with default settings.

  2. You can use the following command for package installations. It will install the packages by creating a virtual environment named "qc".

     $ conda env create --file pack.yml

  3. Copy the "settings.json" file in the airsim folder to the "documents\airsim" directory.

  4. Install the Epic Games store and then install the Unreal Engine game engine. It was run on Unreal Engine version 4.27. (suggested)

  5. Visual Studio 2019 or 2022 + C++ desktop development + Windows 10 SDK 10.0.18362 options must be selected and installed. (tested)

  6. .net framework 4.6.2 Developer (SDK) must be installed.

About

It is intended to be trained using Reinforcement Learning algorithms that aim to ensure drone stabilization in realistic physical conditions, using the AirSim plug-in on the Unreal Engine platform.

Topics

python drone quadcopter simulation deep-reinforcement-learning deep-learning-algorithms ue4 unreal-engine-4 airsim stability-ai

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