# An Agent-based Approach to Automated Game Testing: an Experience Report

arXiv: https://arxiv.org/abs/2211.06386 · HTML: https://mlsanity.com/paper/2211.06386/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 Nov 2022.

## Built on by (most cited first, 3 of 3)

- [AI for Games in the Foundation Model Era](https://mlsanity.com/paper/2609.16679/) (2026)
- [Human-AI Collaborative Game Testing with Vision Language Models](https://mlsanity.com/paper/2501.11782/) (2025)
- [Cooperative Multi-agent Approach for Automated Computer Game Testing](https://mlsanity.com/paper/2405.11347/) (2024)

## Abstract (arXiv)

Computer games are very challenging to handle for traditional automated testing algorithms. In this paper we will look at intelligent agents as a solution. Agents are suitable for testing games, since they are reactive and able to reason about their environment to decide the action they want to take. This paper presents the experience of using an agent-based automated testing framework called ivxr to test computer games. Three games will be discussed, including a sophisticated 3D game called Space Engineers. We will show how the framework can be used in different ways, either directly to drive a test agent, or as an intelligent functionality that can be driven by a traditional automated testing algorithm such as a random algorithm or a model based testing algorithm.