The aim of General Game Playing (GGP) is to create intelligent agents that can automatically learn how to play many different games at an expert level without any human interventi...
: ConnectIT uses a graphical representation to express strategies for playing the connect-four game. With this tool we can transfer complex knowledge about the connect-four game it...
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...
This research explores ways of harnessing people’s passion for entertainment in order to stimulate players to attain the meta-learning skills they need for lifelong learning and...
Human experience with interactive games will be enhanced if the software agents that play the game learn from their failures. Techniques such as reinforcement learning provide one...