Difference between revisions of "Ting-Han Wei"
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* [[Chang-Shing Lee]], [[Mei-Hui Wang]], [[Shi-Jim Yen]], [[Ting-Han Wei]], [[I-Chen Wu]], [[Ping-Chiang Chou]], [[Chun-Hsun Chou]], [[Ming-Wan Wang]], [[Tai-Hsiung Yang]] ('''2016'''). ''Human vs. Computer Go: Review and Prospect''. [https://arxiv.org/abs/1606.02032 arXiv:1606.02032] | * [[Chang-Shing Lee]], [[Mei-Hui Wang]], [[Shi-Jim Yen]], [[Ting-Han Wei]], [[I-Chen Wu]], [[Ping-Chiang Chou]], [[Chun-Hsun Chou]], [[Ming-Wan Wang]], [[Tai-Hsiung Yang]] ('''2016'''). ''Human vs. Computer Go: Review and Prospect''. [https://arxiv.org/abs/1606.02032 arXiv:1606.02032] | ||
* [[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] | ||
| − | * [[Hung Guei]], [[Ting-Han Wei]], [[I-Chen Wu]] ('''2018'''). ''Using 2048-like games as a pedagogical tool for reinforcement learning''. [[ICGA Journal#40_3|ICGA Journal, Vol. 40, No. 3]] | + | * [[Hung Guei]], [[Ting-Han Wei]], [[I-Chen Wu]] ('''2018'''). ''Using 2048-like games as a pedagogical tool for reinforcement learning''. [[CG 2018]], [[ICGA Journal#40_3|ICGA Journal, Vol. 40, No. 3]] |
=External Links= | =External Links= | ||
Revision as of 17:10, 12 March 2019
Ting-Han Wei, (Ting han Wei, Ting-han Wei)
a Taiwanese computer scientist affiliated with the Department of Computer Science at National Chiao Tung University, Hsinchu, and Ph.D. student under professor I-Chen Wu, working in his Computer Games and Intelligence Lab [2] on various game playing programs such as the successful Go playing program CGI. His research interests include search algorithms, in particular Job-level (JL) computing, a general distributed computing approach. In JL computing, a search tree is maintained by a client process, while search tree nodes are evaluated, expanded, or generated by leveraging game-playing programs. These node operations are encapsulated as coarse-grain jobs. Concrete best-first JL implementations perform Proof-Number Search (JL-PNS) and UCT (JL-UCT).
Photos
20th Computer Olympiad, Leiden 2017, Medalists in 13x13 Go, Katsuki Ohto (Bronze for Julie),
Ting-Han Wei (Gold for CGI) and Hideki Kato (Silver for Zen ) [3]
Selected Publications
2013 ...
- I-Chen Wu, Hao-Hua Kang, Hung-Hsuan Lin, Ping-Hung Lin, Ting-Han Wei, Chieh-Min Chang, Ting-Fu Liao (2013). Dependency-Based Search for Connect6. CG 2013
- Hung-Hsuan Lin, I-Chen Wu, Ting-Han Wei (2013). On Specific 17-clue Sudoku Puzzles. ICGA Journal, Vol. 36, No. 3
- Ting-Han Wei, Wen-Jie Tseng, I-Chen Wu, Shi-Jim Yen (2013). MOBILE 6 Wins Connect6 Tournament. ICGA Journal, Vol. 36, No. 3 » 17th Computer Olympiad
- Ting-Han Wei, I-Chen Wu, Chao-Chin Liang, Bing-Tsung Chiang, Wen-Jie Tseng, Shi-Jim Yen, Chang-Shing Lee (2014). Job-Level Algorithms for Connect6 Opening Position Analysis. ECAI CGW 2014
2015 ...
- Xi Liang, Ting-Han Wei, I-Chen Wu (2015). Job-level UCT search for solving Hex. CIG 2015
- Ting-Han Wei, I-Chen Wu (2015). A Special Issue on Job-level Computing. ICGA Journal, Vol. 38, No. 3
- Ting-Han Wei, Chao-Chin Liang, I-Chen Wu, Lung-Pin Chen (2015). Software Development Framework for Job-Level Algorithms. ICGA Journal, Vol. 38, No. 3
- Xi Liang, Ting-Han Wei, I-Chen Wu (2015). Solving Hex Openings Using Job-Level UCT Search. ICGA Journal, Vol. 38, No. 3
- Ting-Han Wei, I-Chen Wu, Chao-Chin Liang, Bing-Tsung Chiang, Wen-Jie Tseng, Shi-Jim Yen, Chang-Shing Lee (2015). Job-Level Algorithms for Connect6 Opening Book Construction. ICGA Journal, Vol. 38, No. 3
- Chang-Shing Lee, Mei-Hui Wang, Shi-Jim Yen, Ting-Han Wei, I-Chen Wu, Ping-Chiang Chou, Chun-Hsun Chou, Ming-Wan Wang, Tai-Hsiung Yang (2016). Human vs. Computer Go: Review and Prospect. arXiv:1606.02032
- 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
- Hung Guei, Ting-Han Wei, I-Chen Wu (2018). Using 2048-like games as a pedagogical tool for reinforcement learning. CG 2018, ICGA Journal, Vol. 40, No. 3
