Super Mario A-Star Agent Reloaded
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10511903" target="_blank" >RIV/00216208:11320/25:10511903 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/ictai66417.2025.00190" target="_blank" >https://doi.org/10.1109/ictai66417.2025.00190</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ictai66417.2025.00190" target="_blank" >10.1109/ictai66417.2025.00190</a>
Alternative languages
Result language
angličtina
Original language name
Super Mario A-Star Agent Reloaded
Original language description
For over a decade, the iconic Super Mario Bros. game has been used as a benchmark for research in artificial intelligence (AI) and procedural content generation (PCG). Every PCG technique relies on some sort of level validation to ensure that the generated levels are playable. For this, an artificial agent is used to substitute for a human player. The quality of such an agent directly influences the quality of the work built upon it, as it limits the complexity of levels that can be validated, and its performance affects the size of the generative space that can be explored. In this paper, we present a new Super Mario Bros. agent, which first finds a coarse path over the grid-based abstraction of a game level, and then uses the information to guide an A* search through the simulated states of the game. The proposed agent is the first agent that is able to solve all levels with standard Super Mario Bros. features, while also being the most performant (10x fewer node evaluations needed and 8x faster on the most complex level pack), thus it constitutes a new state-of-the-art for the game and should be used as the new level validation standard. Furthermore, we empirically show that the grid-based search alone can be used for the level validation task with almost the same accuracy as the agent while being faster by two orders of magnitude.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings 2025 IEEE 37th International Conference on Tools with Artificial Intelligence ICTAI 2025
ISBN
979-8-3315-4919-0
ISSN
1082-3409
e-ISSN
2375-0197
Number of pages
8
Pages from-to
1308-1315
Publisher name
Institute of Electrical and Electronics Engineers (IEEE)
Place of publication
New York
Event location
Athens
Event date
Nov 3, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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