Summary of Learning to Play 7 Wonders Duel Without Human Supervision, by Giovanni Paolini et al.
Learning to Play 7 Wonders Duel Without Human Supervision
by Giovanni Paolini, Lorenzo Moreschini, Francesco Veneziano, Alessandro Iraci
First submitted to arxiv on: 2 Jun 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary ZeusAI is an artificial intelligence system designed to play 7 Wonders Duel, a popular board game. The system uses a combination of Monte Carlo Tree Search and Transformer Neural Network to learn the game without human supervision, inspired by AlphaZero’s reinforcement learning algorithm. ZeusAI competes at the level of top human players, develops both known and novel strategies, and allows for testing rule variants to improve the game’s balance. This work demonstrates how AI can enhance our understanding and enjoyment of board games. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary ZeusAI is a computer program that plays 7 Wonders Duel without any help from humans. It uses special learning algorithms to figure out how to play well, just like top human players do. ZeusAI not only plays the game well but also comes up with new strategies and allows us to test different rules to make the game more fun. This shows how AI can be used to improve our understanding and enjoyment of games. |
Keywords
» Artificial intelligence » Neural network » Reinforcement learning » Transformer
