Difference between revisions of "Ti-Rong Wu"
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[[FILE:TiRongWu.jpg|border|right|thumb|link=https://icga.org/?page_id=1908| Ti-Rong Wu <ref>Image cropped from "[[19th Computer Olympiad#Go|The winners of the Go 19x19]]", Photo 16 by [[Jan Krabbenbos]], [https://icga.org/?page_id=1908 Events 2016: Day 6 | ICGA]</ref> ]] | [[FILE:TiRongWu.jpg|border|right|thumb|link=https://icga.org/?page_id=1908| Ti-Rong Wu <ref>Image cropped from "[[19th Computer Olympiad#Go|The winners of the Go 19x19]]", Photo 16 by [[Jan Krabbenbos]], [https://icga.org/?page_id=1908 Events 2016: Day 6 | ICGA]</ref> ]] | ||
− | '''Ti-Rong Wu''', | + | '''Ti-Rong Wu''',<br/> |
a Taiwanese computer scientist affiliated with the Computer Games and Intelligence Lab at [[National Chiao Tung University]], [https://en.wikipedia.org/wiki/Hsinchu Hsinchu] headed by professor [[I-Chen Wu]] <ref>[http://www.aigames.nctu.edu.tw/members Members - lab-aigames]</ref>. His research interests include [[Learning|machine learning]] for [[Games|computer games]], [https://en.wikipedia.org/wiki/Mathematical_optimization mathematical optimization], [[Parallel Search|parallel]] [[Monte-Carlo Tree Search|MCTS]], and recently [[Go#CNN|DCNN]] <ref>[https://groups.google.com/d/msg/computer-go-archive/-GcbtddZDmw/ASnrdx6IDgAJ Re: UEC cup 1st day result] by [[Ti-Rong Wu]], [https://groups.google.com/forum/#!forum/computer-go-archive Computer Go Archive], March 19, 2016</ref>. Ti-Rong Wu is key-developer of the [[Go]] playing program [https://www.game-ai-forum.org/icga-tournaments/program.php?id=800 CGI] who made most significant changes and improvements over the former [https://www.game-ai-forum.org/icga-tournaments/program.php?id=624 Amigo], including [[Automated Tuning|automated tuning]] of pattern features <ref>[http://aigames.nctu.edu.tw/~icwu/aigames/CGI.html Introduction to Go Programs Developed at CGI Lab]</ref>. | a Taiwanese computer scientist affiliated with the Computer Games and Intelligence Lab at [[National Chiao Tung University]], [https://en.wikipedia.org/wiki/Hsinchu Hsinchu] headed by professor [[I-Chen Wu]] <ref>[http://www.aigames.nctu.edu.tw/members Members - lab-aigames]</ref>. His research interests include [[Learning|machine learning]] for [[Games|computer games]], [https://en.wikipedia.org/wiki/Mathematical_optimization mathematical optimization], [[Parallel Search|parallel]] [[Monte-Carlo Tree Search|MCTS]], and recently [[Go#CNN|DCNN]] <ref>[https://groups.google.com/d/msg/computer-go-archive/-GcbtddZDmw/ASnrdx6IDgAJ Re: UEC cup 1st day result] by [[Ti-Rong Wu]], [https://groups.google.com/forum/#!forum/computer-go-archive Computer Go Archive], March 19, 2016</ref>. Ti-Rong Wu is key-developer of the [[Go]] playing program [https://www.game-ai-forum.org/icga-tournaments/program.php?id=800 CGI] who made most significant changes and improvements over the former [https://www.game-ai-forum.org/icga-tournaments/program.php?id=624 Amigo], including [[Automated Tuning|automated tuning]] of pattern features <ref>[http://aigames.nctu.edu.tw/~icwu/aigames/CGI.html Introduction to Go Programs Developed at CGI Lab]</ref>. | ||
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* [[Ting-Fu Liao]], [[I-Chen Wu]], [[Guan-Wun Chen]], [[Chung-Chin Shih]], [[Po-Ya Kang]], [[Bing-Tsung Chiang]], [[Ting-Chu Ho]], [[Ti-Rong Wu]] ('''2014'''). ''A Study of Software Framework for Parallel Monte Carlo Tree Search''. [[Conferences#GPW19|GPW-2014]] | * [[Ting-Fu Liao]], [[I-Chen Wu]], [[Guan-Wun Chen]], [[Chung-Chin Shih]], [[Po-Ya Kang]], [[Bing-Tsung Chiang]], [[Ting-Chu Ho]], [[Ti-Rong Wu]] ('''2014'''). ''A Study of Software Framework for Parallel Monte Carlo Tree Search''. [[Conferences#GPW19|GPW-2014]] | ||
* [[Ti-Rong Wu]], [[I-Chen Wu]], [[Guan-Wun Chen]], [[Ting-Han Wei]], [[Tung-Yi Lai]], [[Hung-Chun Wu]], [[Li-Cheng Lan]] ('''2017'''). ''Multi-Labelled Value Networks for Computer Go''. [https://arxiv.org/abs/1705.10701 arXiv:1705.10701] | * [[Ti-Rong Wu]], [[I-Chen Wu]], [[Guan-Wun Chen]], [[Ting-Han Wei]], [[Tung-Yi Lai]], [[Hung-Chun Wu]], [[Li-Cheng Lan]] ('''2017'''). ''Multi-Labelled Value Networks for Computer Go''. [https://arxiv.org/abs/1705.10701 arXiv:1705.10701] | ||
+ | * [[Hsiao-Chung Hsieh]], [[Ti-Rong Wu]], [[Ting-Han Wei]], [[I-Chen Wu]] ('''2019'''). ''Net2Net Extension for the AlphaGo Zero Algorithm''. [[Advances in Computer Games 16]] | ||
=Postings= | =Postings= | ||
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=References= | =References= | ||
<references /> | <references /> | ||
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'''[[People|Up one level]]''' | '''[[People|Up one level]]''' | ||
+ | [[Category:Go Programmer|Wu]] |
Latest revision as of 16:39, 1 December 2021
Ti-Rong Wu,
a Taiwanese computer scientist affiliated with the Computer Games and Intelligence Lab at National Chiao Tung University, Hsinchu headed by professor I-Chen Wu [2]. His research interests include machine learning for computer games, mathematical optimization, parallel MCTS, and recently DCNN [3]. Ti-Rong Wu is key-developer of the Go playing program CGI who made most significant changes and improvements over the former Amigo, including automated tuning of pattern features [4].
Selected Publications
- Ting-Fu Liao, I-Chen Wu, Guan-Wun Chen, Chung-Chin Shih, Po-Ya Kang, Bing-Tsung Chiang, Ting-Chu Ho, Ti-Rong Wu (2014). A Study of Software Framework for Parallel Monte Carlo Tree Search. GPW-2014
- Ti-Rong Wu, I-Chen Wu, Guan-Wun Chen, Ting-Han Wei, Tung-Yi Lai, Hung-Chun Wu, Li-Cheng Lan (2017). Multi-Labelled Value Networks for Computer Go. arXiv:1705.10701
- Hsiao-Chung Hsieh, Ti-Rong Wu, Ting-Han Wei, I-Chen Wu (2019). Net2Net Extension for the AlphaGo Zero Algorithm. Advances in Computer Games 16
Postings
- Re: UEC cup 1st day result by Ti-Rong Wu, Computer Go Archive, March 19, 2016
External Links
- computer-go.info - Details of Programmer: Wu, Ti-Rong
- 台版AlphaGo在交大 程度接近職業棋士 | 即時新聞 | 20160315 | 蘋果日報 - Image with CGI developers
References
- ↑ Image cropped from "The winners of the Go 19x19", Photo 16 by Jan Krabbenbos, Events 2016: Day 6 | ICGA
- ↑ Members - lab-aigames
- ↑ Re: UEC cup 1st day result by Ti-Rong Wu, Computer Go Archive, March 19, 2016
- ↑ Introduction to Go Programs Developed at CGI Lab
- ↑ dblp: Ti-Rong Wu