This article summarizes the first ChatGPT4PCG competition held at the 2023 IEEE
Conference on Games. The goal of the competition is to explore emergent abilities of …

This paper investigates the suitability of using Generative Adversarial Networks (GANs) to
generate stable structures for the physics-based puzzle game Angry Birds. While previous …

This article outlines what we learned from the first year of the AI Settlement Generation
Competition in Minecraft, a competition about producing AI programs that can generate …

Video game level generation based on machine learning (ML), in particular, deep
generative models, has attracted attention as a technique to automate level generation …

Successfully operating in open worlds is a hallmark of human intelligence but still remains a
major challenge to modern Artificial Intelligence (AI) systems. With the increasing reliance …

Humans are well versed in reasoning about the behaviours of physical objects and
choosing actions accordingly to accomplish tasks, while this remains a major challenge for …

We present RLSS: a reinforcement learning algorithm for sequential scene generation. This
is based on employing the proximal policy optimization (PPO) algorithm for generative …

The GDMC AI settlement generation challenge is a procedural content generation (PCG)
competition about producing an algorithm that can create a settlement in the game …

We introduce the Chronicle Challenge as an optional addition to the Settlement Generation
Challenge in Minecraft. One of the foci of the overall competition is adaptive procedural …

The Angry Birds AI competition has been held over many years to encourage the
development of AI agents that can play Angry Birds game levels better than human players …