/PCG-papers

Procedural Content Generation (PCG) papers summarization for newbies :)

PCG-papers

In this article, we summarize the PCG (Procedural Content Generation) papers for game research.

Survey

  • Smith, G. Understanding procedural content generation: a design-centric analysis of the role of PCG in games. CHI, 2014 [Paper]
  • Liu, J., Snodgrass, S., Khalifa, A., Risi, S., Yannakakis, G. N., & Togelius, J. Deep learning for procedural content generation. Neural Computing and Applications, 2020 [Paper]

RL-based

  • Khalifa, A., Bontrager, P., Earle, S., & Togelius, J. Pcgrl: Procedural content generation via reinforcement learning. AIIDE, 2020 [Paper] [Code] env:pcgrl
  • Earle, S., Edwards, M., Khalifa, A., Bontrager, P., & Togelius, J. Learning Controllable Content Generators. Arxiv, 2021 [Paper] env:pcgrl env:simcity env:rct
  • GisslĂ©n, L., Eakins, A., Gordillo, C., Bergdahl, J., & Tollmar, K. Adversarial reinforcement learning for procedural content generation. Arxiv, 2021 [Paper] arch:adversarial env:unity
  • Dennis, M., Jaques, N., Vinitsky, E., Bayen, A., Russell, S., Critch, A., & Levine, S. Emergent complexity and zero-shot transfer via unsupervised environment design. Arxiv, 2020 [Paper] arch:adversarial env:minigrid
  • Shu, T., Liu, J., & Yannakakis, G. N Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study . Arxiv, 2021. [Paper] arch:adversarial env:smb

GAN-based

  • Awiszus, M., Schubert, F., & Rosenhahn, B. World-GAN: a Generative Model for Minecraft Worlds. Arxiv, 2021 [Paper] env:minecraft

Utility

  • Delarosa, O., Dong, H., Ruan, M., Khalifa, A., & Togelius, J. (2020). Mixed-Initiative Level Design with RL Brush. ArXiv, 2020 [Paper] env:pcgrl