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Created page with "'''Home * People * Aja Huang''' FILE:AjaHuang.jpg|border|right|thumb|link=http://picasaweb.google.com/117053534374902710729/15thComputerOlympiadKanazawa|..."
'''[[Main Page|Home]] * [[People]] * Aja Huang'''
[[FILE:AjaHuang.jpg|border|right|thumb|link=http://picasaweb.google.com/117053534374902710729/15thComputerOlympiadKanazawa| Aja Huang <ref>[http://picasaweb.google.com/117053534374902710729/15thComputerOlympiadKanazawa Photo of the 15th Computer Olympiad Kanazawa 2010] by [[Hideki Kato]]</ref> ]]
'''Aja (Shih-Chieh) Huang''',<br7>
a Taiwanese research scientist at [[Google]] [[DeepMind]], [https://en.wikipedia.org/wiki/Go_ranks_and_ratings 6-dan] [[Go]] player, co-author of [[AlphaGo]] <ref>[[CG 2016#Keynote|Keynote Lecture CG 2016 Conference by Aja Huang]]</ref>, and computer scientist with a Ph.D. in 2011 on ''New Heuristics for Monte Carlo Tree Search Applied to the Game of Go'' from [https://en.wikipedia.org/wiki/National_Taiwan_Normal_University National Taiwan Normal University]. Aja Huang is author of the Go playing program [https://www.game-ai-forum.org/icga-tournaments/program.php?id=101 AjaGo], and supported by his supervisor [[Rémi Coulom]], author of the world class Go program [https://www.game-ai-forum.org/icga-tournaments/program.php?id=530 Erica], which won the Gold medal at the [https://www.game-ai-forum.org/icga-tournaments/tournament.php?id=216 15th Computer Olympiad] in [https://en.wikipedia.org/wiki/Kanazawa,_Ishikawa Kanazawa], 2010. He is further member of the team in developing the [[Chinese Chess]] program [https://www.game-ai-forum.org/icga-tournaments/program.php?id=113 Elephant], and co-author of the [[Connect6]] program [https://www.game-ai-forum.org/icga-tournaments/program.php?id=521 NTNU C6] <ref>[https://www.game-ai-forum.org/icga-tournaments/person.php?id=83 Shih-Chieh Huang's ICGA Tournaments]</ref>.
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 [https://www.game-ai-forum.org/icga-tournaments/program.php?id=535 Fuego], as well with [[Ryan Hayward]] on the [[Hex]] playing program [https://www.game-ai-forum.org/icga-tournaments/program.php?id=555 MoHex] <ref>[[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 [http://www.goodreads.com/author/show/362902.Peter_Shotwell Peter Shotwell], [http://www.usgo.org/resources/downloads/Supercomputer%20Go%20Appendix%20Two.pdf pdf]</ref>.
=Photos=
[[FILE:Turin2006ChinesChess.JPG|none|border|text-bottom|640px]]
[[11th Computer Olympiad#ChineseChess|11th Computer Olympiad 2006]], [[Chinese Chess]] , [[Shi-Jim Yen]] , [[Pascal Tang]] and [[Shih-Chieh Huang|Aja Huang]] <ref>Photo by [[Gerd Isenberg]], [[WCCC 2006]]</ref>
=See also=
* [[CG 2016#Keynote|Keynote Lecture CG 2016 Conference by Aja Huang]]
=Selected Publications=
<ref>[http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/h/Huang:Shih=Chieh.html DBLP: Shih-Chieh Huang]</ref>
==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#30_3|ICGA Journal, Vol 30, No. 3]]
==2010 ...==
* [[Shih-Chieh Huang]], [[Rémi Coulom]], [[Shun-Shii Lin]] ('''2010'''). ''[http://remi.coulom.free.fr/CG2010-Simulation-Balancing/ Monte-Carlo Simulation Balancing in Practice]''. [[CG 2010]], [http://remi.coulom.free.fr/CG2010-Simulation-Balancing/SimulationBalancing.pdf pdf]
* [[Shih-Chieh Huang]], [[Shi-Jim Yen]] ('''2010'''). ''Many Faces of Go wins Go 13x13 Tournament''. [[ICGA Journal#33_3|ICGA Journal, Vol. 33, No. 3]] » [[15th Computer Olympiad#Go13x13|15th Computer Olympiad]]
* [[Shih-Chieh Huang]], [[Rémi Coulom]], [[Shun-Shii Lin]] ('''2010'''). ''Monte-Carlo Simulation Balancing applied to 9x9 Go''. [[ICGA Journal#33_4|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, [http://remi.coulom.free.fr/Publications/TimeManagement.pdf pdf]
* [[Shih-Chieh Huang]] ('''2011'''). ''New Heuristics for Monte Carlo Tree Search Applied to the Game of Go''. Ph.D. thesis, [http://www.grappa.univ-lille3.fr/~coulom/Aja_PhD_Thesis.pdf pdf]
* [[Ryan Hayward]], [[Broderick Arneson]], [[Shih-Chieh Huang]], [[Jakub Pawlewicz]] ('''2013'''). ''MOHEX Wins Hex Tournament''. [[ICGA Journal#36_3|ICGA Journal, Vol. 36, No. 3]], [https://webdocs.cs.ualberta.ca/~hayward/papers/rptYokohama.pdf pdf] » [[17th Computer Olympiad#Hex|17th Computer Olympiad]]
* [[Shih-Chieh Huang|Aja Huang]], [[Martin Müller]] ('''2013'''). '' Investigating the Limits of Monte Carlo Tree Search Methods in Computer Go''. [[CG 2013]]
* [[Shih-Chieh Huang|Aja Huang]], [[Broderick Arneson]], [[Ryan Hayward]], [[Martin Müller]], [[Jakub Pawlewicz]] ('''2013'''). ''MoHex 2.0: a pattern-based MCTS Hex player''. [[CG 2013]], [https://webdocs.cs.ualberta.ca/~hayward/papers/m2.pdf pdf]
* [[Chris J. Maddison]], [[Shih-Chieh Huang|Aja Huang]], [[Ilya Sutskever]], [[David Silver]] ('''2014'''). ''Move Evaluation in Go Using Deep Convolutional Neural Networks''. [http://arxiv.org/abs/1412.6564v1 arXiv:1412.6564v1] <ref>[http://computer-go.org/pipermail/computer-go/2014-December/007046.html Move Evaluation in Go Using Deep Convolutional Neural Networks] by [[Shih-Chieh Huang|Aja Huang]], [http://computer-go.org/pipermail/computer-go/ The Computer-go Archives], December 19, 2014</ref> » [[Go#CNN|DCNN in Go]]
==2015 ...==
* [[David Silver]], [[Shih-Chieh Huang|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'''). ''[http://www.nature.com/nature/journal/v529/n7587/full/nature16961.html Mastering the game of Go with deep neural networks and tree search]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 529 » [[AlphaGo]]
* [[Shih-Chieh Huang|Aja Huang]] ('''2016'''). ''[[CG 2016#Keynote|AlphaGo: Combining Deep Neural Networks with Tree Search]]''. [[CG 2016]], Keynote Lecture
* [[David Silver]], [[Julian Schrittwieser]], [[Karen Simonyan]], [[Ioannis Antonoglou]], [[Shih-Chieh Huang|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'''). ''[https://www.nature.com/nature/journal/v550/n7676/full/nature24270.html Mastering the game of Go without human knowledge]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 550 <ref>[https://deepmind.com/blog/alphago-zero-learning-scratch/ AlphaGo Zero: Learning from scratch] by [[Demis Hassabis]] and [[David Silver]], [[DeepMind]], October 18, 2017</ref> » [[AlphaGo]]
=Postings=
* [http://computer-go.org/pipermail/computer-go/2014-December/007046.html Move Evaluation in Go Using Deep Convolutional Neural Networks] by [[Shih-Chieh Huang|Aja Huang]], [http://computer-go.org/pipermail/computer-go/ The Computer-go Archives], December 19, 2014 <ref>[[Chris J. Maddison]], [[Shih-Chieh Huang|Aja Huang]], [[Ilya Sutskever]], [[David Silver]] ('''2014'''). ''Move Evaluation in Go Using Deep Convolutional Neural Networks''. [http://arxiv.org/abs/1412.6564v1 arXiv:1412.6564v1]</ref> » [[Go#CNN|DCNN in Go]]
* [https://groups.google.com/d/msg/computer-go-archive/v2EhkOwqz6I/8lv3LNmHDAAJ Mastering the Game of Go with Deep Neural Networks and Tree Search] by [[Shih-Chieh Huang|Aja Huang]], [http://computer-go.org/pipermail/computer-go/ The Computer-go Archives], January 27, 2016 » [[AlphaGo]]
=External Links=
* [https://www.game-ai-forum.org/icga-tournaments/person.php?id=83 Shih-Chieh Huang's ICGA Tournaments]
* [https://www.linkedin.com/in/ajahuang Aja Huang | LinkedIn]
* [https://github.com/ajahuang ajahuang (Aja Huang) · GitHub]
* [http://www.computer-go.info/db/operson.php?a=Huang%2C+Shih-Chieh Huang, Shih-Chieh] from [http://www.computer-go.info/ computer-go.info]
=References=
<references />
'''[[People|Up one level]]'''
[[FILE:AjaHuang.jpg|border|right|thumb|link=http://picasaweb.google.com/117053534374902710729/15thComputerOlympiadKanazawa| Aja Huang <ref>[http://picasaweb.google.com/117053534374902710729/15thComputerOlympiadKanazawa Photo of the 15th Computer Olympiad Kanazawa 2010] by [[Hideki Kato]]</ref> ]]
'''Aja (Shih-Chieh) Huang''',<br7>
a Taiwanese research scientist at [[Google]] [[DeepMind]], [https://en.wikipedia.org/wiki/Go_ranks_and_ratings 6-dan] [[Go]] player, co-author of [[AlphaGo]] <ref>[[CG 2016#Keynote|Keynote Lecture CG 2016 Conference by Aja Huang]]</ref>, and computer scientist with a Ph.D. in 2011 on ''New Heuristics for Monte Carlo Tree Search Applied to the Game of Go'' from [https://en.wikipedia.org/wiki/National_Taiwan_Normal_University National Taiwan Normal University]. Aja Huang is author of the Go playing program [https://www.game-ai-forum.org/icga-tournaments/program.php?id=101 AjaGo], and supported by his supervisor [[Rémi Coulom]], author of the world class Go program [https://www.game-ai-forum.org/icga-tournaments/program.php?id=530 Erica], which won the Gold medal at the [https://www.game-ai-forum.org/icga-tournaments/tournament.php?id=216 15th Computer Olympiad] in [https://en.wikipedia.org/wiki/Kanazawa,_Ishikawa Kanazawa], 2010. He is further member of the team in developing the [[Chinese Chess]] program [https://www.game-ai-forum.org/icga-tournaments/program.php?id=113 Elephant], and co-author of the [[Connect6]] program [https://www.game-ai-forum.org/icga-tournaments/program.php?id=521 NTNU C6] <ref>[https://www.game-ai-forum.org/icga-tournaments/person.php?id=83 Shih-Chieh Huang's ICGA Tournaments]</ref>.
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 [https://www.game-ai-forum.org/icga-tournaments/program.php?id=535 Fuego], as well with [[Ryan Hayward]] on the [[Hex]] playing program [https://www.game-ai-forum.org/icga-tournaments/program.php?id=555 MoHex] <ref>[[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 [http://www.goodreads.com/author/show/362902.Peter_Shotwell Peter Shotwell], [http://www.usgo.org/resources/downloads/Supercomputer%20Go%20Appendix%20Two.pdf pdf]</ref>.
=Photos=
[[FILE:Turin2006ChinesChess.JPG|none|border|text-bottom|640px]]
[[11th Computer Olympiad#ChineseChess|11th Computer Olympiad 2006]], [[Chinese Chess]] , [[Shi-Jim Yen]] , [[Pascal Tang]] and [[Shih-Chieh Huang|Aja Huang]] <ref>Photo by [[Gerd Isenberg]], [[WCCC 2006]]</ref>
=See also=
* [[CG 2016#Keynote|Keynote Lecture CG 2016 Conference by Aja Huang]]
=Selected Publications=
<ref>[http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/h/Huang:Shih=Chieh.html DBLP: Shih-Chieh Huang]</ref>
==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#30_3|ICGA Journal, Vol 30, No. 3]]
==2010 ...==
* [[Shih-Chieh Huang]], [[Rémi Coulom]], [[Shun-Shii Lin]] ('''2010'''). ''[http://remi.coulom.free.fr/CG2010-Simulation-Balancing/ Monte-Carlo Simulation Balancing in Practice]''. [[CG 2010]], [http://remi.coulom.free.fr/CG2010-Simulation-Balancing/SimulationBalancing.pdf pdf]
* [[Shih-Chieh Huang]], [[Shi-Jim Yen]] ('''2010'''). ''Many Faces of Go wins Go 13x13 Tournament''. [[ICGA Journal#33_3|ICGA Journal, Vol. 33, No. 3]] » [[15th Computer Olympiad#Go13x13|15th Computer Olympiad]]
* [[Shih-Chieh Huang]], [[Rémi Coulom]], [[Shun-Shii Lin]] ('''2010'''). ''Monte-Carlo Simulation Balancing applied to 9x9 Go''. [[ICGA Journal#33_4|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, [http://remi.coulom.free.fr/Publications/TimeManagement.pdf pdf]
* [[Shih-Chieh Huang]] ('''2011'''). ''New Heuristics for Monte Carlo Tree Search Applied to the Game of Go''. Ph.D. thesis, [http://www.grappa.univ-lille3.fr/~coulom/Aja_PhD_Thesis.pdf pdf]
* [[Ryan Hayward]], [[Broderick Arneson]], [[Shih-Chieh Huang]], [[Jakub Pawlewicz]] ('''2013'''). ''MOHEX Wins Hex Tournament''. [[ICGA Journal#36_3|ICGA Journal, Vol. 36, No. 3]], [https://webdocs.cs.ualberta.ca/~hayward/papers/rptYokohama.pdf pdf] » [[17th Computer Olympiad#Hex|17th Computer Olympiad]]
* [[Shih-Chieh Huang|Aja Huang]], [[Martin Müller]] ('''2013'''). '' Investigating the Limits of Monte Carlo Tree Search Methods in Computer Go''. [[CG 2013]]
* [[Shih-Chieh Huang|Aja Huang]], [[Broderick Arneson]], [[Ryan Hayward]], [[Martin Müller]], [[Jakub Pawlewicz]] ('''2013'''). ''MoHex 2.0: a pattern-based MCTS Hex player''. [[CG 2013]], [https://webdocs.cs.ualberta.ca/~hayward/papers/m2.pdf pdf]
* [[Chris J. Maddison]], [[Shih-Chieh Huang|Aja Huang]], [[Ilya Sutskever]], [[David Silver]] ('''2014'''). ''Move Evaluation in Go Using Deep Convolutional Neural Networks''. [http://arxiv.org/abs/1412.6564v1 arXiv:1412.6564v1] <ref>[http://computer-go.org/pipermail/computer-go/2014-December/007046.html Move Evaluation in Go Using Deep Convolutional Neural Networks] by [[Shih-Chieh Huang|Aja Huang]], [http://computer-go.org/pipermail/computer-go/ The Computer-go Archives], December 19, 2014</ref> » [[Go#CNN|DCNN in Go]]
==2015 ...==
* [[David Silver]], [[Shih-Chieh Huang|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'''). ''[http://www.nature.com/nature/journal/v529/n7587/full/nature16961.html Mastering the game of Go with deep neural networks and tree search]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 529 » [[AlphaGo]]
* [[Shih-Chieh Huang|Aja Huang]] ('''2016'''). ''[[CG 2016#Keynote|AlphaGo: Combining Deep Neural Networks with Tree Search]]''. [[CG 2016]], Keynote Lecture
* [[David Silver]], [[Julian Schrittwieser]], [[Karen Simonyan]], [[Ioannis Antonoglou]], [[Shih-Chieh Huang|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'''). ''[https://www.nature.com/nature/journal/v550/n7676/full/nature24270.html Mastering the game of Go without human knowledge]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 550 <ref>[https://deepmind.com/blog/alphago-zero-learning-scratch/ AlphaGo Zero: Learning from scratch] by [[Demis Hassabis]] and [[David Silver]], [[DeepMind]], October 18, 2017</ref> » [[AlphaGo]]
=Postings=
* [http://computer-go.org/pipermail/computer-go/2014-December/007046.html Move Evaluation in Go Using Deep Convolutional Neural Networks] by [[Shih-Chieh Huang|Aja Huang]], [http://computer-go.org/pipermail/computer-go/ The Computer-go Archives], December 19, 2014 <ref>[[Chris J. Maddison]], [[Shih-Chieh Huang|Aja Huang]], [[Ilya Sutskever]], [[David Silver]] ('''2014'''). ''Move Evaluation in Go Using Deep Convolutional Neural Networks''. [http://arxiv.org/abs/1412.6564v1 arXiv:1412.6564v1]</ref> » [[Go#CNN|DCNN in Go]]
* [https://groups.google.com/d/msg/computer-go-archive/v2EhkOwqz6I/8lv3LNmHDAAJ Mastering the Game of Go with Deep Neural Networks and Tree Search] by [[Shih-Chieh Huang|Aja Huang]], [http://computer-go.org/pipermail/computer-go/ The Computer-go Archives], January 27, 2016 » [[AlphaGo]]
=External Links=
* [https://www.game-ai-forum.org/icga-tournaments/person.php?id=83 Shih-Chieh Huang's ICGA Tournaments]
* [https://www.linkedin.com/in/ajahuang Aja Huang | LinkedIn]
* [https://github.com/ajahuang ajahuang (Aja Huang) · GitHub]
* [http://www.computer-go.info/db/operson.php?a=Huang%2C+Shih-Chieh Huang, Shih-Chieh] from [http://www.computer-go.info/ computer-go.info]
=References=
<references />
'''[[People|Up one level]]'''
