Enhanced Rolling Horizon Evolution Algorithm With Opponent Model Learning: Results for the Fighting Game AI Competition

The Fighting Game AI Competition (FTGAIC) provides a challenging benchmark for two-player video game artificial intelligence. The challenge arises from the large action space, diverse styles of characters and abilities, and the real-time nature of the game. In this article, we propose a novel algori...

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Veröffentlicht in:IEEE transactions on games 2023-03, Vol.15 (1), p.5-15
Hauptverfasser: Tang, Zhentao, Zhu, Yuanheng, Zhao, Dongbin, Lucas, Simon M.
Format: Artikel
Sprache:eng
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