In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
Learning how to defeat human players is a challenging task in today's commercial computer games. This paper suggests a goal-directed hierarchical dynamic scripting approach f...
Today’s Multi-player Online Games (MOGs) are challenged by infrastructure requirements, because of their server-centric nature. Peer-to-peer networks are an interesting alternat...
One of the challenges facing the on-line gaming community is the delivery of new content to players. While the initial distribution of a game is typically done via large media for...
In this study, the authors propose to discuss scalability challenges posed by Massively Multiplayer Online Game (MMOG) scenarios, while outlining issues specific to the context of...