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2020 – today
- 2025
[j16]Chu-Hsuan Hsueh
, Takefumi Ishii, Tsuyoshi Hashimoto, Kokolo Ikeda:
Proposal and generation of endgame puzzles for an imperfect information game Geister. Entertain. Comput. 52: 100736 (2025)- 2024
- [j15]Chu-Hsuan Hsueh, Kokolo Ikeda:
Improvement of move naturalness for playing good-quality games with middle-level players. Appl. Intell. 54(2): 1637-1655 (2024) - [e1]Michael Hartisch, Chu-Hsuan Hsueh, Jonathan Schaeffer:
Advances in Computer Games - 18th International Conference, ACG 2023, Virtual Event, November 28-30, 2023, Revised Selected Papers. Lecture Notes in Computer Science 14528, Springer 2024, ISBN 978-3-031-54967-0 [contents] - 2023
- [j14]Chu-Hsuan Hsueh, Kokolo Ikeda, I-Chen Wu, Jr-Chang Chen, Tsan-sheng Hsu:
Analyses of Tabular AlphaZero on Strongly-Solved Stochastic Games. IEEE Access 11: 18157-18182 (2023) - [j13]Michael Hartisch, Chu-Hsuan Hsueh, Jonathan Schaeffer:
Advances in Computer Games (ACG 2023) conference report. J. Int. Comput. Games Assoc. 45(4): 105-108 (2023) - [c17]Chu-Hsuan Hsueh, Kokolo Ikeda:
Can We Infer Move Sequences in Go from Stone Arrangements? ACG 2023: 76-87 - [c16]Tatsuyoshi Ogawa, Chu-Hsuan Hsueh, Kokolo Ikeda:
Improving the Human-Likeness of Game AI's Moves by Combining Multiple Prediction Models. ICAART (3) 2023: 931-939 - [c15]SangGyu Nam, Chu-Hsuan Hsueh, Kokolo Ikeda:
Procedural Content Generation of Super Mario Levels Considering Natural Connection. JCSSE 2023: 291-296 - [c14]Chien-Liang Kuo, Po-Ting Chen, Hung Guei, De-Rong Sung, Chu-Hsuan Hsueh, Ti-Rong Wu, I-Chen Wu:
An Empirical Analysis of Gumbel MuZero on Stochastic and Deterministic Einstein Würfelt Nicht! TAAI (1) 2023: 329-342 - [c13]Kyota Kuboki, Chu-Hsuan Hsueh, Kokolo Ikeda:
Factor Analyses on Positive and Negative Evaluations of Games against Go Programs. TAAI (1) 2023: 343-357 - 2022
- [j12]Chu-Hsuan Hsueh, Jr-Chang Chen:
CLAP_CDC wins Chinese dark chess tournament. J. Int. Comput. Games Assoc. 44(3): 114-118 (2022) - [j11]Sang-Gyu Nam, Chu-Hsuan Hsueh, Kokolo Ikeda:
Generation of Game Stages With Quality and Diversity by Reinforcement Learning in Turn-Based RPG. IEEE Trans. Games 14(3): 488-501 (2022) - [c12]Chu-Hsuan Hsueh, Kokolo Ikeda:
Playing Good-Quality Games with Weak Players by Combining Programs with Different Roles. CoG 2022: 612-615 - [c11]Wanxiang Li, Houkuan He, Chu-Hsuan Hsueh, Kokolo Ikeda:
Graph Convolutional Networks for Turn-Based Strategy Games. ICAART (2) 2022: 552-561 - 2021
- [j10]Yuan Shi, Tianwen Fan, Wanxiang Li, Chu-Hsuan Hsueh, Kokolo Ikeda:
Position Control and Production of Various Strategies for Game of Go Using Deep Learning Methods. J. Inf. Sci. Eng. 37(3): 553-573 (2021) - [c10]Keita Fujihira, Chu-Hsuan Hsueh, Kokolo Ikeda:
Procedural Maze Generation Considering Difficulty from Human Players' Perspectives. ACG 2021: 165-175 - 2020
- [j9]Wei-Yuan Hsu, Chu-Ling Ko, Jr-Chang Chen, Ting-Han Wei, Chu-Hsuan Hsueh, I-Chen Wu:
On solving the 7, 7, 5-game and the 8, 8, 5-game. Theor. Comput. Sci. 815: 79-94 (2020) - [c9]Wanxiang Li, Chu-Hsuan Hsueh, Kokolo Ikeda:
Imitating Agents in A Complex Environment by Generative Adversarial Imitation Learning. CoG 2020: 702-705 - [c8]Chu-Hsuan Hsueh, Kokolo Ikeda, Sang-Gyu Nam, I-Chen Wu:
Analyses of Tabular AlphaZero on NoGo. TAAI 2020: 254-259
2010 – 2019
- 2019
- [j8]Chu-Hsuan Hsueh, I-Chen Wu:
EWIN wins EinStein Würfelt Nicht! tournament. J. Int. Comput. Games Assoc. 41(1): 49-52 (2019) - [c7]Taishi Oikawa, Chu-Hsuan Hsueh, Kokolo Ikeda:
Improving Human Players' T-Spin Skills in Tetris with Procedural Problem Generation. ACG 2019: 41-52 - [c6]Tung-Yi Lai, Chu-Hsuan Hsueh, You-Hsuan Lin, Yeong-Jia Roger Chu, Bo Yang Hsueh, I-Chen Wu:
Combining Deep Deterministic Policy Gradient with Cross-Entropy Method. TAAI 2019: 1-5 - 2018
- [j7]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. J. Int. Comput. Games Assoc. 40(2): 77-104 (2018) - [j6]Wei-Yuan Hsu, Chu-Ling Ko, Chu-Hsuan Hsueh, I-Chen Wu:
Solving 7, 7, 5-game and 8, 8, 5-game. J. Int. Comput. Games Assoc. 40(3): 246-257 (2018) - [j5]Jiao Wang, Tan Zhu, Hongye Li, Chu-Hsuan Hsueh, I-Chen Wu:
Belief-State Monte Carlo Tree Search for Phantom Go. IEEE Trans. Games 10(2): 139-154 (2018) - [c5]Chu-Hsuan Hsueh, I-Chen Wu, Jr-Chang Chen, Tsan-sheng Hsu:
AlphaZero for a Non-Deterministic Game. TAAI 2018: 116-121 - 2017
- [j4]Jiao Wang, Chenjun Xiao, Tan Zhu, Chu-Hsuan Hsueh, Wen-Jie Tseng, I-Chen Wu:
Only-One-Victor Pattern Learning in Computer Go. IEEE Trans. Comput. Intell. AI Games 9(1): 88-102 (2017) - [j3]Kun-Hao Yeh, I-Chen Wu, Chu-Hsuan Hsueh, Chia-Chuan Chang, Chao-Chin Liang, Han Chiang:
Multistage Temporal Difference Learning for 2048-Like Games. IEEE Trans. Comput. Intell. AI Games 9(4): 369-380 (2017) - [c4]Yeong-Jia Roger Chu, Yuan-Hao Chen, Chu-Hsuan Hsueh, I-Chen Wu:
An Agent for EinStein Würfelt Nicht! Using N-Tuple Networks. TAAI 2017: 184-189 - 2016
- [j2]Chu-Hsuan Hsueh, I-Chen Wu, Wen-Jie Tseng, Shi-Jim Yen, Jr-Chang Chen:
An analysis for strength improvement of an MCTS-based program playing Chinese dark chess. Theor. Comput. Sci. 644: 63-75 (2016) - [i1]Kun-Hao Yeh, I-Chen Wu, Chu-Hsuan Hsueh, Chia-Chuan Chang, Chao-Chin Liang, Han Chiang:
Multi-Stage Temporal Difference Learning for 2048-like Games. CoRR abs/1606.07374 (2016) - 2015
- [j1]Chu-Hsuan Hsueh, I-Chen Wu:
DARKKNIGHT wins Chinese Dark Chess Tournament. J. Int. Comput. Games Assoc. 38(4): 249-251 (2015) - [c3]Chu-Hsuan Hsueh, I-Chen Wu, Wen-Jie Tseng, Shi-Jim Yen, Jr-Chang Chen:
Strength Improvement and Analysis for an MCTS-Based Chinese Dark Chess Program. ACG 2015: 29-40 - [c2]Jiao Wang, Tan Zhu, Hongye Li, Chu-Hsuan Hsueh, I-Chen Wu:
Belief-state Monte-Carlo tree search for Phantom games. CIG 2015: 267-274 - [c1]Po-Ya Kang, I-Chen Wu, Chu-Hsuan Hsueh:
Applying hueristic algorithms to portfolio selection problem. TAAI 2015: 323-329
Coauthor Index
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