Awesome PCGML

📚 Books and Surveys

• A. Summerville et al., "Procedural Content Generation via Machine Learning (PCGML)
• Guzdial, M., Snodgrass, S., & Summerville, A. J. (2022). Procedural Content Generation Via Machine Learning: An Overview
• Togelius, J., Shaker, N., & Nelson, M. J. (2014). Procedural content generation in games: A textbook and an overview of current research

🎮 Level Generation

• Jadhav, M., & Guzdial, M. (2021, October). Tile embedding: a general representation for level generation
• Sarkar, A., Yang, Z., & Cooper, S. (2020). Controllable level blending between games using variational autoencoders
• Chen, E., Sydora, C., Burega, B., Mahajan, A., Abdullah, A., Gallivan, M., & Guzdial, M. (2020). Image-to-Level: Generation and Repair
• Awiszus, M., Schubert, F., & Rosenhahn, B. (2020, October). TOAD-GAN: Coherent style level generation from a single example
• Summerville, A., & Mateas, M. (2016). Super Mario as a string: Platformer level generation via lstms
• Mirgati, N., & Guzdial, M. (2023, August). Joint Level Generation and Translation Using Gameplay Videos. In 2023 IEEE Conference on Games (CoG) (pp. 1-10). IEEE.
• Halina, E., & Guzdial, M. (2023). Tree-Based Reconstructive Partitioning: A Novel Low-Data Level Generation Approach. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 19(1), 244-254. https://doi.org/10.1609/aiide.v19i1.27520

🎨 Asset Generation

• Saravanan, A., & Guzdial, M. (2022). Pixel vq-vaes for improved pixel art representation
• Gonzalez, A., Guzdial, M., & Ramos, F. (2020). Generating gameplay-relevant art assets with transfer learning
• Loftsdottir, Dagmar, and Matthew Guzdial. "SketchBetween: Video-to-Video Synthesis for Sprite Animation via Sketches

🧠 Reinforcement Learning

• Khalifa, Ahmed, et al. "Pcgrl: Procedural content generation via reinforcement learning."
• Mahmoudi-Nejad, A., Guzdial, M., & Boulanger, P. (2021, October). Arachnophobia exposure therapy using experience-driven procedural content generation via reinforcement learning (EDPCGRL)

👩‍💻 Mixed-Initiative (Co-creative)

• Guzdial, M., Liao, N., & Riedl, M. (2018). Co-creative level design via machine learning
• Zhou, Z., & Guzdial, M. (2021, August). Toward co-creative dungeon generation via transfer learning

🔎 Explainability

• Guzdial, M., Reno, J., Chen, J., Smith, G., & Riedl, M. (2018). Explainable PCGML via game design patterns

📜 Quests

• Kristen, K. Y., Sturtevant, N. R., & Guzdial, M. (2020). What is a Quest?. In AIIDE Workshops.

📊 Datasets

• Summerville, A. J., Snodgrass, S., Mateas, M., & Ontanón, S. (2016). The vglc: The video game level corpus
• Snodgrass, S., Summerville, A., & Ontanon, S. (2021). Studying the Effects of Training Data on Machine Learning-Based Procedural Content Generation