# 10 Years of the PCG workshop: Past and Future Trends

arXiv: https://arxiv.org/abs/2104.11037 · HTML: https://mlsanity.com/paper/2104.11037/

## Key facts

- Cited by 6 papers in the map (data through 14 Oct 2026).
- Builds on 11 of its 112 references that are in the map.
- First posted on arXiv 21 Mar 2021.

## Builds on (most cited first, 11 of 11)

- [Attention Is All You Need](https://mlsanity.com/paper/1706.03762/) (2017)
- [Procedural Content Generation via Machine Learning (PCGML)](https://mlsanity.com/paper/1702.00539/) (2017)
- [DeepBach: a Steerable Model for Bach Chorales Generation](https://mlsanity.com/paper/1612.01010/) (2016)
- [The VGLC: The Video Game Level Corpus](https://mlsanity.com/paper/1606.07487/) (2016)
- [The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human Priors](https://mlsanity.com/paper/1904.10079/) (2019)
- [Generative Design in Minecraft (GDMC), Settlement Generation Competition](https://mlsanity.com/paper/1803.09853/) (2018)
- [Autonomy, Authenticity, Authorship and Intention in computer generated art](https://mlsanity.com/paper/1903.02166/) (2019)
- [Generating Levels That Teach Mechanics](https://mlsanity.com/paper/1807.06734/) (2018)
- [Addressing the Fundamental Tension of PCGML with Discriminative Learning](https://mlsanity.com/paper/1809.04432/) (2018)
- [Toward Game Level Generation from Gameplay Videos](https://mlsanity.com/paper/1602.07721/) (2016)
- [Two-step Constructive Approaches for Dungeon Generation](https://mlsanity.com/paper/1906.04660/) (2019)

## Built on by (most cited first, 6 of 6)

- [Large Language Models and Games: A Survey and Roadmap](https://mlsanity.com/paper/2402.18659/) (2024)
- [Procedural Content Generation in Games: A Survey with Insights on Emerging LLM Integration](https://mlsanity.com/paper/2410.15644/) (2024)
- [SuSketch: Surrogate Models of Gameplay as a Design Assistant](https://mlsanity.com/paper/2103.11726/) (2021)
- [The Procedural Content Generation Benchmark: An Open-source Testbed for Generative Challenges in Games](https://mlsanity.com/paper/2503.21474/) (2025)
- [Measuring Diversity of Game Scenarios](https://mlsanity.com/paper/2404.15192/) (2024)
- [Improving Regret Approximation for Unsupervised Dynamic Environment Generation](https://mlsanity.com/paper/2601.14957/) (2026)

## Abstract (arXiv)

As of 2020, the international workshop on Procedural Content Generation enters its second decade. The annual workshop, hosted by the international conference on the Foundations of Digital Games, has collected a corpus of 95 papers published in its first 10 years. This paper provides an overview of the workshop's activities and surveys the prevalent research topics emerging over the years.