In most chess games without additional rule restrictions, the side that makes the first move
(ie, the first-move side) has an absolute advantage, which affects the game's balance to a …

Computer games have been regarded as an important field of artificial intelligence (AI) for a
long time. The AlphaZero structure has been successful in the game of Go, beating the top …

We introduce a novel computational unit for neural networks that features multiple biases,
challenging the traditional perceptron structure. This unit emphasizes the importance of …

In this paper, we use fully convolutional architectures in AlphaZero-like self-play training
setups to facilitate transfer between variants of board games as well as distinct games. We …

Expert Iteration (ExIt) is an effective framework for learning game-playing policies from self-
play. ExIt involves training a policy to mimic the search behaviour of a tree search algorithm …

Deep learning architectures suffer from depth-related performance degradation, limiting the
effective depth of neural networks. Approaches like ResNet are able to mitigate this, but they …

The widespread availability of superhuman AI engines is changing how we play the ancient
game of Go. The open-source software packages developed after the AlphaGo series …

In many board games and other abstract games, patterns have been used as features that
can guide automated game-playing agents. Such patterns or features often represent …

Prior work found that superhuman Go AIs like KataGo can be defeated by simple adversarial
strategies. In this paper, we study if simple defenses can improve KataGo's worst-case …

Abstract Since the AlphaGo Zero paper was published, many superhuman Go AIs followed,
some with open sources and easy-to-use interfaces. Currently, it is impossible even for the …