Official repository for "TOAD-GAN: Coherent Style Level Generation from a Single Example" by Maren Awiszus, Frederik Schubert and Bodo Rosenhahn.
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Updated
Jul 13, 2022 - Python
Official repository for "TOAD-GAN: Coherent Style Level Generation from a Single Example" by Maren Awiszus, Frederik Schubert and Bodo Rosenhahn.
Master thesis: "Using Procedural Content Generation via Machine Learning as a Game Mechanic" with a prototype in Unreal Engine 4.22.
DOOM level generation using Generative Adversarial Networks
GUI for TOAD-GAN, a PCG-ML algorithm for Token-based Super Mario Bros. Levels.
Main Repository for my MSc thesis about Procedural content generation via machine learning applied to videogames levels (Doom I/II)
Replication of Super Mario as a String: Platformer Level Generation Via LSTMs. Written in Python using Keras.
Run a simple agent through user-defined super-mario chunks and determine the playability proportion.
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