Abstract
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 applications of GANs for level generation have been mostly limited to tile-based representations, this paper explores their suitability for creating stable structures made from multiple smaller blocks. This includes a detailed encoding/decoding process for converting between Angry Birds level descriptions and a suitable grid-based representation, as well as utilizing state-of-the-art GAN architectures and training methods to produce new structure designs. Our results show that GANs can be successfully applied to generate a varied range of complex and stable Angry Birds structures.
Original language | English |
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Title of host publication | Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment |
Editors | Markus Eger, Rogelio Enrique Cardona-Rivera |
Publisher | AAAI Press |
Pages | 2-12 |
Number of pages | 11 |
Edition | 1 |
ISBN (Electronic) | 157735883X, 9781577358831 |
DOIs | |
Publication status | Published - 6 Oct 2023 |
Event | Nineteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment - Salt Lake City, Utah, United States, Salt Lake City, United States Duration: 8 Oct 2023 → 12 Oct 2023 https://sites.google.com/view/aiide-2023/home |
Publication series
Series | Proceedings - AAAI Artificial Intelligence and Interactive Digital Entertainment Conference, AIIDE |
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Volume | 19 |
ISSN | 2326-909X |
Conference
Conference | Nineteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment |
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Abbreviated title | AIIDE-23 |
Country/Territory | United States |
City | Salt Lake City |
Period | 8/10/23 → 12/10/23 |
Internet address |