

ViZDoomGym OpenAI Gym Wrapper for ViZDoom.MazeExplorer - More sophisticated maze navigation generator for ViZDoom.NavDoom - Maze navigation generator for ViZDoom (similar to DeepMind Lab).Omgifol - nice Python library for manipulating Doom maps.OBLIGE - Doom random map generator and PyOblige is a simple Python wrapper for it.Doom Builder 2 - another great Doom map editor for Windows.SLADE3 - great Doom map (scenario) editor for Linux, MacOS and Windows.API is almost identical for all languages.ĭetailed description of all types and methods:Īlso full documentation of engine and ACS scripting language can be found on ZDoom Wiki. Python examples are currently the richest, so we recommend to look at them, even if you plan to use other language. Python (contain learning examples implemented in PyTorch, TensorFlow and Theano).See Installation of Windows binaries Building instructionsīefore running the provided examples, make sure that freedoom2.wad is placed in the same directory as the ViZDoom executable (on Linux and macOS it should be done automatically by the building process): (we recommend using at least macOS High Sierra 10.13+ with Python 3.7+) Windows buildįor Windows we are providing compiled runtime binaries and development libraries: 1.1.8pre (): (we recommend using at least Ubuntu 18.04+ with Python 3.7+) macOS brew install cmake boost sdl2

Python quick start Ubuntu sudo apt install cmake libboost-all-dev libsdl2-dev libfreetype6-dev libgl1-mesa-dev libglu1-mesa-dev libpng-dev libjpeg-dev libbz2-dev libfluidsynth-dev libgme-dev libopenal-dev zlib1g-dev timidity tar nasm M Wydmuch, M Kempka & W Jaśkowski, ViZDoom Competitions: Playing Doom from Pixels, IEEE Transactions on Games, in print, arXiv:1809.03470 Competitions: Playing Doom from Pixels},Īuthor=, ViZDoom API is reinforcement learning friendly (suitable also for learning from demonstration, apprenticeship learning or apprenticeship via inverse reinforcement learning, etc.). Automatic labeling game objects visible in the frame,.Access to the depth buffer (3D vision),.

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