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.
|Jay : game learning|
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 programsInternet distributed learning - machine learning @ home
Metagame and General Game Playing - game-definition frameworks
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
Turing Test - the BotPrize, a Turing Test for Unreal Tournament, was won in 2012
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 few, but they’re cool
online papers - many of them!
a thorough bibliography by Johannes Fürnkranz