Bayesian pattern ranking for move prediction in the game of Go
By David H. Stern, Ralf Herbrich, Thore Graepel. 2006
90 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Probabilistic & Bayesian Methods, Game & Decision Theory
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Sergey Levine
- Pieter Abbeel
- Yoshua Bengio
- Yuxi Li
- Ruslan Salakhutdinov
- Jianfeng Gao
- Quoc V. Le
- Timothy P. Lillicrap
In Computer Vision and Pattern Recognition
- Sergey Levine
- Luc Van Gool
- Dacheng Tao
- Trevor Darrell
- Pieter Abbeel
- Jitendra Malik
- Xiaogang Wang
- Ming-Hsuan Yang
In Probabilistic & Bayesian Methods
- Rémi Coulom
- Amos J. Storkey
- Christopher Clark
- Chris J. Maddison
- David Silver
- Nal Kalchbrenner
- Timothy P. Lillicrap
- Thore Graepel
In Game & Decision Theory
- David Silver
- Marc Lanctot
- Thore Graepel
- Christopher Clark
- Amos J. Storkey
- Arthur Guez
- Timothy P. Lillicrap
- Ioannis Antonoglou
Citations in the corpus
- Temporal-difference search in computer Go (2012, unknown): “(c) Go players describe positions using a large vocabulary of shapes, such as the one-point jump (G), hane (H ), net (I ) and turn (J ) Prior work on learning shape knowledge has focused on predicting expert moves by supervised learning (Stoutamire 1991; van der Werf et al. 2002; Stern et al. 2006).”
- Training Deep Convolutional Neural Networks to Play Go (2015, methodology): “Stern et al. report that other Go players estimated their move predictor as having a ranking of 10-15 kyu, but do not report its win rates against another computer Go opponent (Stern et al., 2006) .”
- Mastering the game of Go with deep neural networks and tree search (2016, methodology): “For the first stage of the training pipeline, we build on prior work on predicting expert moves in the game of Go using supervised learning 13,21–24 .”
- COMPUTING “ELO RATINGS” OF MOVE PATTERNS IN THE GAME OF GO (2007, methodology): “Figure 3 plots the mean log-evidence per stage of the game, against the data of Stern, Herbrich, and Graepel (Stern et al., 2006).”