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		Nicol N. (Nic) Schraudolph, a German computer scientist and consultant in machine learning and optimization. He holds a Ph.D. from University of California, San Diego in 1995 on optimization of entropy with neural networks under advisor Terrence J. Sejnowski [1] .
Nic Schraudolph [2]

Learning Go

Along with Peter Dayan and his advisor, Terrence J. Sejnowski, Nicol Schraudolph applied temporal difference learning to an evaluation function in the game of Go, as published in 1994 ^[3], and in 2001 ^[4].

A modular network architecture that takes advantage of board symmetries, translation invariance and localized reinforcement to evaluate Go positions. [5]

Selected Publications

^{[6] [7]}

1994 ...

• Nicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski (1994). Temporal Difference Learning of Position Evaluation in the Game of Go. Advances in Neural Information Processing Systems 6 ^[8]
• Nicol N. Schraudolph (1995). Optimization of Entropy with Neural Networks. Ph.D. thesis, University of California, San Diego
• Nicol N. Schraudolph, Terrence J. Sejnowski (1995). Tempering Backpropagation Networks: Not All Weights are Created Equal. NIPS 1995, pdf
• Nicol N. Schraudolph (1998). Centering Neural Network Gradient Factors. Neural Networks: Tricks of the Trade, 2nd ed. 2012

2000 ...

• Nicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski (2001). Learning to Evaluate Go Positions via Temporal Difference Methods. in Norio Baba, Lakhmi C. Jain (eds.) (2001). Computational Intelligence in Games, Studies in Fuzziness and Soft Computing. Physica-Verlag, revised version of 1994 paper
• Magdalena Klapper-Rybicka, Nicol N. Schraudolph, Jürgen Schmidhuber (2001). Unsupervised Learning in LSTM Recurrent Neural Networks. ICANN 2001
• Desmond Chik, Jochen Trumpf, Nicol N. Schraudolph (2007). 3D Hand Tracking in a Stochastic Approximation Setting. Workshop on Human Motion 2007

2010 ...

• Nicol N. Schraudolph (2012). Centering Neural Network Gradient Factors. Neural Networks: Tricks of the Trade, 2nd edition

External Links

• Nic Schraudolph
• Nicol N. Schraudolph from ResearchGate
• Introduction to Neural Networks by Nicol N. Schraudolph and Fred Cummins
• Going for Go

References

1. ^ Nicol N. Schraudolph (1995). Optimization of Entropy with Neural Networks. Ph.D. thesis, University of California, San Diego
2. ^ Nicol N. Schraudolph from ResearchGate
3. ^ Nicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski (1994). Temporal Difference Learning of Position Evaluation in the Game of Go. Advances in Neural Information Processing Systems 6
4. ^ Nicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski (2001). Learning to Evaluate Go Positions via Temporal Difference Methods. in Norio Baba, Lakhmi C. Jain (eds.) (2001). Computational Intelligence in Games, Studies in Fuzziness and Soft Computing. Physica-Verlag
5. ^ Image 1 from Nicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski (1994). Temporal Difference Learning of Position Evaluation in the Game of Go. Advances in Neural Information Processing Systems 6
6. ^ dblp: Nicol N. Schraudolph
7. ^ Nic Schraudolphs's Publications by Year
8. ^ Nici Schraudolph’s go networks, review by Jay Scott

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