Technical Reports - Query Results
Your query term was 'number = 2000-31'1 report found
- OFAI-TR-2000-31 (
109kB g-zipped PostScript file, 
255kB PDF file)Machine Learning in Games: A Survey
- Johannes Fürnkranz
- This paper provides a survey of previously published work on machine
learning in game playing. The material is organized around a
variety of problems that typically arise in game playing and that
can be solved with machine learning methods. This approach, we
believe, allows both, researchers in game playing to find
appropriate learning techniques for helping to solve their problems
as well as machine learning researchers to identify rewarding topics
for further research in game-playing domains. The paper covers
learning techniques that range from neural networks to decision tree
learning in games that range from poker to chess.
However, space constraints prevent us from giving detailed
introductions to the used learning techniques or games. Overall, we
aimed at striking a fair balance between being exhaustive and being
exhausting.
Keywords: Machine Learning, Game Playing
- This paper provides a survey of previously published work on machine
learning in game playing. The material is organized around a
variety of problems that typically arise in game playing and that
can be solved with machine learning methods. This approach, we
believe, allows both, researchers in game playing to find
appropriate learning techniques for helping to solve their problems
as well as machine learning researchers to identify rewarding topics
for further research in game-playing domains. The paper covers
learning techniques that range from neural networks to decision tree
learning in games that range from poker to chess.
However, space constraints prevent us from giving detailed
introductions to the used learning techniques or games. Overall, we
aimed at striking a fair balance between being exhaustive and being
exhausting.