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Skip to Search Results- 4AlphaZero
- 2Reinforcement Learning
- 1Adversarial Machine Learning
- 1Artificial Intelligence
- 1Chinese Checkers
- 1Game of Go
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Fall 2024
Research on board games focuses on playing at a superhuman level or finding exact solutions. Recently, Artificial Intelligence (AI) has become really good at playing complex games such as Go. Comparing AI systems to perfect play helps us understand how advanced AI has become. This research...
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Spring 2024
Chinese Checkers, a traditional game played on a star-shaped board by 2-6 players, has been a domain for game AI research and has been strongly solved up to a 6×6 board with 6 pieces per player in a two-player game. In this work, we apply the AlphaZero algorithm, known for its success in perfect...
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Fall 2022
OpenSpiel is an open-source software system for implementing high-performance software players for many different computer games. Hex is a two-player game of perfect information used in a variety of computer games research projects. The OpenSpiel project has implemented a version of the AlphaZero...
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Spring 2023
AlphaZero is a self-play reinforcement learning algorithm that achieves superhuman play in the games of chess, shogi, and Go via policy iteration. To be an effective policy improvement operator, AlphaZero’s search needs to have accurate value estimates for the states that appear in its search...