… the game of go from a complex network perspective. We construct a directed network
using a suitable definition of tactical moves including local patterns, and study this network for …

… game of go from the point of view of complex networks… complex networks has become more
and more important in the recent past. In particular, communication and information networks …

… to computer Go that uses ‘value networks’ to evaluate board positions and ‘policy networks’
… We evaluated the performance of the RL policy network in game play, sampling each move …

… Abstract–Go is a complex board game that stands impervious to the present computational
intelligence. This project continues our composite approach, aiming to integrate the strengths …

… Complex networks and social networks originated from the lase decade bring forth the
new … The social network analysis for Go game players are significant topic to be explored. …

… training networks to evaluate Go … Go is a deterministic game, we cannot always pick the
estimated best move when training by self-play without running the risk of trapping the network in …

… capture game, also known as Ponnuki-Go or Atari-Go. We believe that it is an interesting
test domain because it has many important characteristics of full-scale Go. This is underlined …

… And our score-based Go program is similar to how human play the game of Go, and can
identify the live and dead stones on board. Therefore, we can adapt to the bonus rule by …

… in the opening game of Go. We implement TD(λ) learning with a neural network to predict …
opening styles and to find the most favourable opening game for black, and then evaluate the …

… are sequences of tactics that each player employs towards winning the game. Efficient …
of 200 moves per game, the automation of Go strategies to win a game is vastly complex [2], …