Machine Learning in Games

How computers can learn to get better at playing games.

This site is for artificial intelligence researchers and intrepid game programmers. I describe game programs and their workings; they rely on heuristic search algorithms, neural networks, genetic algorithms, temporal differences, and other methods. I keep big list of online research papers. And there's more.

find stuff here	find stuff in the rest of the world
index of games mentioned on this site index of people mentioned on this site	tutorials - get started with AI artificial intelligence links - the best entry points game links - about the games themselves game AI stuff - discussions, archives, etc.

learning projects and game-playing programs Internet distributed learning - machine learning @ home Metagame - a game-definition framework Morph - an ambitious project that includes game learning robotic soccer - with both simulated and real robots the neural network backgammon programs the strong learning othello programs pursuit-evasion games - various papers Nici Schraudolph's go networks Sebastian Thrun's NeuroChess Michael Gherrity's SAL - a game-learning system

methods Here the emphasis is on the technique rather than the use it's put to. evolutionary methods - aka genetic algorithms search algorithms - including rational search ideas to try out - playout analysis, learning methods, etc.

big lists of things Everything that I didn't write about above gets brief mention here. There's lots of it! meetings - the most relevant workshops and conferences interesting web pages and less-interesting pages historical interest items - only a couple, but they're cool online papers - many of them! - updated 3 January online software - updated 24 September a thorough bibliography by Johannes Fürnkranz