MarioGPT: An AI capable of creating Super Mario Bros. levels

The excitement over artificial intelligence has reached the entire world Mario Bros. Thanks to the engineering team University of Copenhagen A tool has been created that allows you to create levels for this video game using text.

The researchers relied on GPT-2 Information about the system learning levels Super Mario Bros. and Super Mario Bros.: The Lost Levels And in this way, the technology can replicate scenarios with high fidelity.

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How Mario Bros levels are created with AI

MarioGPT This is a research product, not a commercial tool, so it still has bugs. However, the engineers claim that they managed to make 80% of the created levels playable.

For their functionality, they preferred to use GPT-2Which is an easier technology to train and they were able to control it better with smaller data sets.

“Honestly, we went with the little one to see if it would work. I think that in general, with small data sets, GPT2 is more suitable than GPT3, and is much lighter and easier to prepare. However, in the future, with larger data sets and more complex queries, you may want to use a more sophisticated model such as GPT3. “- he said. Shyam SudakaranThe lead author of the study, in an interview TechCrunch.

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In addition, to study intelligence, they chose to give a specific character to each element of the scenario. For example, enemies is “E”, this way it was easier to write requests to generate levels.

Although this led to one of its most frequent mistakes, and that is creating enemies that are not very diverse, since the system groups everyone under the same character.

The way the scenarios were generated was dictated by the instructions that the AI ​​was given through the text, with requirements such as that it create levels with “lots of pipes and lots of enemies” or “lots of blocks, tall heights, no enemies”. “. However, scenarios in water were not presented because they were not included in the study.

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In total they created 250 different levels inspired by these first two games in the saga Super Mario BrosOut of which 9 out of 10 could be completed by the research group.

Considering the results, they emphasize that the use of a more complex system will help transfer the data to a more advanced model, and this will become an important step for the automation of video games, in a more controlled and diverse way.

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Not for the first time

MarioGPT Another example of how artificial intelligence is being adapted is in the video game industry. The New York University developed a similar project with the game mushroom picking in which they automatically generate levels by describing texts.

The difference with the other project is that they chose GPT-3 because, based on the researchers’ experience, it works better with smaller data sets, which reduces the information base needed at the beginning. Although they saved that what was done by the University of Copenhagen had a higher level of difficulty in training artificial intelligence.