This bibliography contains a variety of references concerning Machine Learning in Strategic Game Playing, i.e. on ideas how game playing programs can improve their play by learning from their own or others' experience. Included in the list are only references in which the application of a Machine Learning algorithm to a game playing problem forms a considerable part of the paper. Papers in Machine Learning that might be relevant for the problem, but not explicitly address game playing (like Sutton's paper on Temporal Difference Learning) have not been included. Likewise, papers that describe a game playing application that might be relevant for Machine Learning methods (like Wilkins's paper on PARADISE) have been omitted.
I am interested in all references to on-line or off-line ressources on this topic. If you happen to know anything that I seem to be unaware of please let me know!.
