Chu-Hsuan Hsueh
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Chu-Hsuan Hsueh, (薛筑軒)
a Taiwanese computer scientist affiliated with the National Chiao Tung University, Hsinchu. As Ph.D. student in I-Chen Wu's Computer Games and Intelligence Lab [1], she is working on Monte-Carlo Tree Search for incomplete information games. Since 2014, Chu-Hsuan Hsueh is co-author of the Chinese Dark Chess program and multiple gold medal winner of Computer Olympiads and TCGA tournaments [2] DarkKnight, along with Wen-Jie Tseng and I-Chen Wu. Based on the original DarkKnight, she incorporated several techniques including early playout terminations, implicit minimax backups, quality-based rewards, and progressive bias to improve the playing strength. Besides, she also did some tunings for tournaments, e.g. time management, and dealing with 180 plies to draw.
Photos
18th Computer Olympiad 2015 medalists Ta-Kai Hsu, Chu-Hsuan Hsueh (Gold) and Ting-Yu Lin (Silver) [3]
Selected Publications
2015 ...
- Chu-Hsuan Hsueh, I-Chen Wu, Wen-Jie Tseng, Shi-Jim Yen, Jr-Chang Chen (2015). Strength Improvement and Analysis for an MCTS-Based Chinese Dark Chess Program. Advances in Computer Games 14
- Jiao Wang, Tan Zhu, Hongye Li, Chu-Hsuan Hsueh, I-Chen Wu (2015). Belief-state Monte-Carlo tree search for Phantom games. CIG 2015
- Chu-Hsuan Hsueh, I-Chen Wu (2015). DARKKNIGHT wins Chinese Dark Chess Tournament. ICGA Journal, Vol. 38, No. 4 » 18th Computer Olympiad | Chinese Dark Chess
- Chu-Hsuan Hsueh, I-Chen Wu, Tsan-sheng Hsu, Jr-Chang Chen, An investigation of strength analysis metrics for game-playing programs: A case study in Chinese dark chess. » Chinese Dark Chess
- Chu-Hsuan Hsueh, I-Chen Wu, Jr-Chang Chen, Tsan-sheng Hsu (2018). AlphaZero for a Non-Deterministic Game. TAAI 2018 » AlphaZero, Chinese Dark Chess
- Wei-Yuan Hsu, Chu-Ling Ko, Chu-Hsuan Hsueh, I-Chen Wu (2018). Solving 7,7,5-game and 8,8,5-game. CG 2018, ICGA Journal, Vol. 40, No. 3
- Chu-Hsuan Hsueh, I-Chen Wu (2019). EWIN wins EinStein Würfelt Nicht! tournament. ICGA Journal, Vol. 41, No. 1 » 21st Computer Olympiad 2018
2020 ...
- Keita Fujihira, Chu-Hsuan Hsueh, Kokolo Ikeda (2021). Procedural Maze Generation with Considering Difficulty from Human Players’ Perspectives. Advances in Computer Games 17
