Learning to Play 7 Wonders Duel Without Human Supervision
This work demonstrates how AI can help in understanding and enhancing board games, though it is incremental as it applies an existing method to a new game.
The paper tackled the problem of playing the board game 7 Wonders Duel without human supervision, resulting in ZeusAI, which competes at the level of top human players and develops both known and novel strategies.
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.