This paper introduces ZeusAI, an artificial intelligence system developed to play the board game 7 Wonders Duel. Inspired by the AlphaZero reinforcement learning algorithm, ZeusAI relies on a combination of Monte Carlo Tree Search and a Transformer Neural Network to learn the game without human supervision. ZeusAI competes at the level of top human players, develops both known and novel strategies, and allows us to test rule variants to improve the game's balance. This work demonstrates how AI can help in understanding and enhancing board games.

Paolini, G., Moreschini, L., Veneziano, F., Iraci, A. (2024). Learning to Play 7 Wonders Duel Without Human Supervision [10.1109/cog60054.2024.10645555].

Learning to Play 7 Wonders Duel Without Human Supervision

Paolini, Giovanni
Primo
;
2024

Abstract

This paper introduces ZeusAI, an artificial intelligence system developed to play the board game 7 Wonders Duel. Inspired by the AlphaZero reinforcement learning algorithm, ZeusAI relies on a combination of Monte Carlo Tree Search and a Transformer Neural Network to learn the game without human supervision. ZeusAI competes at the level of top human players, develops both known and novel strategies, and allows us to test rule variants to improve the game's balance. This work demonstrates how AI can help in understanding and enhancing board games.
2024
2024 IEEE Conference on Games (CoG)
1
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Paolini, G., Moreschini, L., Veneziano, F., Iraci, A. (2024). Learning to Play 7 Wonders Duel Without Human Supervision [10.1109/cog60054.2024.10645555].
Paolini, Giovanni; Moreschini, Lorenzo; Veneziano, Francesco; Iraci, Alessandro
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/980338
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