SPEAKER: Timothy Joseph Cerexhe
University of New South Wales
General game playing (GGP) attempts to focus game playing research on techniques with broader applications than a single game. Currently most of this effort is devoted to games with perfect information. There is increasing interest in bridging this competition into imperfect information games, however there are significant computational and algorithmic barriers to this transition. Our group at UNSW has produced one of the first imperfect information GGP players, which came second in the (very) recent first German Open. This talk will introduce the competition, the approach we took to produce the UNSW StarPlayer, and some future directions.
Timothy Cerexhe is a second-year PhD student at the University of New South Wales (UNSW) in Sydney, Australia. His research interests are in cognitive robotics and general game playing. He is working towards a thesis on analysing and targeting special cases of action theory, with applications to planning and game playing.