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ICML 2007

The papers for ICML 2007 are now available online. As a game AI researcher, interesting papers include:

1. Learning to Solve Game Trees. David Stern, Ralf Herbrich and Thore Graepel.

Formulating a probabilistic model for nodes in a game-tree and performing best-first AND/OR search. Interesting trend in integrating statistical machine learning techniques into game-tree search techniques. See also authors' prior paper on Bayesian pattern matching in computer Go.

2. Combining Online and Offline Knowledge in UCT. Sylvain Gelly and David Silver.

UCT - Upper confidence Tree search is a promising game-tree search technique for games with high branching factor. This paper sheds some light on what does and does not work when using UCT.

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