Shih-Chieh Huang
Aja (Shih-Chieh) Huang,
a Taiwanese research scientist at Google DeepMind, 6-dan Go player, co-author of AlphaGo [2], and computer scientist with a Ph.D. in 2011 on New Heuristics for Monte Carlo Tree Search Applied to the Game of Go from National Taiwan Normal University. Aja Huang is author of the Go playing program AjaGo, and supported by his supervisor Rémi Coulom, author of the world class Go program Erica, which won the Gold medal at the 15th Computer Olympiad in Kanazawa, 2010. He is further member of the team in developing the Chinese Chess program Elephant, and co-author of the Connect6 program NTNU C6 [3].
Aja Huang was postdoc at University of Alberta, researching on Monte-Carlo Tree Search, and working with Martin Müller on the Go playing programs Erica and Fuego, as well with Ryan Hayward on the Hex playing program MoHex [4].
Contents
Photos
11th Computer Olympiad 2006, Chinese Chess , Shi-Jim Yen , Pascal Tang and Aja Huang [5]
See also
Selected Publications
2007 ...
- Li-Te Huang, Shan-Tai Chen, Shih-Chieh Huang, Shun-Shii Lin (2007). An Efficient Approach to Solve Mastermind Optimally. CGW 2007
- Li-Te Huang, Shan-Tai Chen, Shih-Chieh Huang, Shun-Shii Lin (2007). An Efficient Approach to Solve Mastermind Optimally. ICGA Journal, Vol 30, No. 3
2010 ...
- Shih-Chieh Huang, Rémi Coulom, Shun-Shii Lin (2010). Monte-Carlo Simulation Balancing in Practice. CG 2010, pdf
- Shih-Chieh Huang, Shi-Jim Yen (2010). Many Faces of Go wins Go 13x13 Tournament. ICGA Journal, Vol. 33, No. 3 » 15th Computer Olympiad
- Shih-Chieh Huang, Rémi Coulom, Shun-Shii Lin (2010). Monte-Carlo Simulation Balancing applied to 9x9 Go. ICGA Journal, Vol 33, No. 4
- Shih-Chieh Huang, Rémi Coulom, Shun-Shii Lin (2011). Time Management for Monte-Carlo Tree Search Applied to the Game of Go. TAAI 2010, pdf
- Shih-Chieh Huang (2011). New Heuristics for Monte Carlo Tree Search Applied to the Game of Go. Ph.D. thesis, pdf
- Ryan Hayward, Broderick Arneson, Shih-Chieh Huang, Jakub Pawlewicz (2013). MOHEX Wins Hex Tournament. ICGA Journal, Vol. 36, No. 3, pdf » 17th Computer Olympiad
- Aja Huang, Martin Müller (2013). Investigating the Limits of Monte Carlo Tree Search Methods in Computer Go. CG 2013
- Aja Huang, Broderick Arneson, Ryan Hayward, Martin Müller, Jakub Pawlewicz (2013). MoHex 2.0: a pattern-based MCTS Hex player. CG 2013, pdf
- Chris J. Maddison, Aja Huang, Ilya Sutskever, David Silver (2014). Move Evaluation in Go Using Deep Convolutional Neural Networks. arXiv:1412.6564v1 [7] » DCNN in Go
2015 ...
- David Silver, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik Grewe, John Nham, Nal Kalchbrenner, Ilya Sutskever, Timothy Lillicrap, Madeleine Leach, Koray Kavukcuoglu, Thore Graepel, Demis Hassabis (2016). Mastering the game of Go with deep neural networks and tree search. Nature, Vol. 529 » AlphaGo
- Aja Huang (2016). AlphaGo: Combining Deep Neural Networks with Tree Search. CG 2016, Keynote Lecture
- David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, Yutian Chen, Timothy Lillicrap, Fan Hui, Laurent Sifre, George van den Driessche, Thore Graepel, Demis Hassabis (2017). Mastering the game of Go without human knowledge. Nature, Vol. 550 [8] » AlphaGo
Postings
- Move Evaluation in Go Using Deep Convolutional Neural Networks by Aja Huang, The Computer-go Archives, December 19, 2014 [9] » DCNN in Go
- Mastering the Game of Go with Deep Neural Networks and Tree Search by Aja Huang, The Computer-go Archives, January 27, 2016 » AlphaGo
External Links
- Shih-Chieh Huang's ICGA Tournaments
- Aja Huang | LinkedIn
- ajahuang (Aja Huang) · GitHub
- Huang, Aja from computer-go.info
References
- ↑ Photo of the 15th Computer Olympiad Kanazawa 2010 by Hideki Kato
- ↑ Keynote Lecture CG 2016 Conference by Aja Huang
- ↑ Shih-Chieh Huang's ICGA Tournaments
- ↑ Shih-Chieh Huang (2011). New Heuristics for Monte Carlo Tree Search Applied to the Game of Go. Ph.D. thesis, Appendix II, 2011 Super Computer Go: Shih-Chieh Huang's Erica, Introduction by Peter Shotwell, pdf
- ↑ Photo by Gerd Isenberg, WCCC 2006
- ↑ DBLP: Shih-Chieh Huang
- ↑ Move Evaluation in Go Using Deep Convolutional Neural Networks by Aja Huang, The Computer-go Archives, December 19, 2014
- ↑ AlphaGo Zero: Learning from scratch by Demis Hassabis and David Silver, DeepMind, October 18, 2017
- ↑ Chris J. Maddison, Aja Huang, Ilya Sutskever, David Silver (2014). Move Evaluation in Go Using Deep Convolutional Neural Networks. arXiv:1412.6564v1
