Go is an ancient oriental game whose complexity has defeated attempts to automate it. We suggest using probability in a Bayesian sense to model the uncertainty arising from the va...
We explore an application to the game of Go of a reinforcement learning approach based on a linear evaluation function and large numbers of binary features. This strategy has prov...
In first person shooter (FPS) games the round trip time (RTT) (delay, or ‘lag’) between a client and server is an important criterion for players when deciding which server to ...
Grenville J. Armitage, Carl Javier, Sebastian Zand...
Go remains a challenge for artificial intelligence. Currently, most machine learning methods tackle Go by playing on a specific fixed board size, usually smaller than the standa...