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HSUEH, Chu Hsuan Senior Lecturer
Information Science, Human Information Science, International Research Center for Artificial Intelligence and Entertainment Science

Published Papers

46 items
Improvement of Move Naturalness for Playing Good-Quality Games with Middle-Level Players
Chu-Hsuan Hsueh, Kokolo Ikeda
Applied Intelligence, -, 2024
Factor Analyses on Positive and Negative Evaluations of Games against Go Programs
Kyota Kubok, Chu-Hsuan Hsueh, Kokolo Ikeda
The 28th International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2023), -, 2023
Can We Infer Move Sequences in Go from Stone Arrangements?
Chu-Hsuan Hsueh, Kokolo Ikeda
The 18th Conference on Advances in Computer and Games (ACG2023), -, 2023
Procedural Content Generation of Super Mario Levels Considering Natural Connection
SangGyu Nam, Chu-Hsuan Hsueh, Kokolo Ikeda
2023 20th International Joint Conference on Computer Science and Software Engineering (JCSSE), -, 2023
Analyses of Tabular AlphaZero on Strongly-Solved Stochastic Games
Chu-Hsuan Hsueh, Kokolo Ikeda, I-Chen Wu, Jr-Chang Chen, Tsan-Sheng Hsu
IEEE Access, 11, 18157-18182, 2023
Improving the Human-Likeness of Game AI’s Moves by Combining Multiple Prediction Models
Tatsuyoshi Ogawa, Chu-Hsuan Hsueh, Kokolo Ikeda
The 15th International Conference on Agents and Artificial Intelligence (ICAART 2023), -, 2023
Playing Good-Quality Games with Weak Players by Combining Programs with Different Roles
Chu-Hsuan Hsueh, Kokolo Ikeda
2022 IEEE Conference on Games (CoG), -, 2022
Procedural Maze Generation Considering Difficulty from Human Players' Perspectives
Keita Fujihira, Chu-Hsuan Hsueh, Kokolo Ikeda
The 17th Advances in Computer Games conference, -, 2021
Generation of Game Stages with Quality and Diversity by Reinforcement Learning in Turn-based RPG
Sang-Gyu Nam, Chu-Hsuan Hsueh, Kokolo Ikeda
IEEE Transactions on Games, -, 2021
Position Control and Production of Various Strategies for Game of Go Using Deep Learning Methods
Yuan Shi, Tianwen Fan, Wanxiang Li, Chu-Hsuan Hsueh, Kokolo Ikeda
Journal of Information Science and Engineering, 37, 3, -, 2021
Analyses of Tabular AlphaZero on NoGo
Chu-Hsuan Hsueh, Kokolo Ikeda, Sang-Gyu Nam, I-Chen Wu
2020 International Conference on Technologies and Applications of Artificial Intelligence (TAAI), 254-259, 2020
Imitating Agents in A Complex Environment by Generative Adversarial Imitation Learning
Wanxiang Li, Chu-Hsuan Hsueh, Kokolo Ikeda
2020 IEEE Conference on Games (CoG), 702-705, 2020
On solving the 7,7,5-game and the 8,8,5-game
Wei-Yuan Hsu, Chu-Ling Ko, Jr-Chang Chen, Ting-Han Wei, Chu-Hsuan Hsueh, I-Chen Wu
Theoretical Computer Science, 815, 79-94, 2020
Improving Human Players’ T-Spin Skills in Tetris with Procedural Problem Generation
Taishi Oikawa, Chu-Hsuan Hsueh, Kokolo Ikeda
Advances in Computer Games, ACG 2019, 41-52, 2020
Combining Deep Deterministic Policy Gradient with Cross-Entropy Method
Tung-Yi Lai, Chu-Hsuan Hsueh, You-Hsuan Lin, Yeong-Jia Roger Chu, Bo-Yang Hsueh, I-Chen Wu
2019 International Conference on Technologies and Applications of Artificial Intelligence (TAAI), -, 2019
On Strength Analyses of Computer Programs for Stochastic Games with Perfect Information
Chu-Hsuan Hsueh
National Chiao Tung University, 1-156, 2019
An investigation of strength analysis metrics for game-playing programs: A case study in Chinese dark chess
Chu-Hsuan Hsueh, I-Chen Wu, Tsan-sheng Hsu, Jr-Chang Chen
ICGA Journal, 40, 2, 77-104, 2019
AlphaZero for a Non-Deterministic Game
Chu-Hsuan Hsueh, I-Chen Wu, Jr-Chang Chen, Tsan-sheng Hsu
2018 Conference on Technologies and Applications of Artificial Intelligence (TAAI), 116-121, 2018
Belief-State Monte Carlo Tree Search for Phantom Go
Jiao Wang, Tan Zhu, Hongye Li, Chu-Hsuan Hsueh, I.-Chen Wu
IEEE Transactions on Games, 10, 2, 139-154, 2018
An Agent for EinStein Würfelt Nicht! Using N-Tuple Networks
Yeong-Jia Roger Chu, Yuan-Hao Chen, Chu-Hsuan Hsueh, I-Chen Wu
2017 Conference on Technologies and Applications of Artificial Intelligence (TAAI), 184-189, 2017
Multistage Temporal Difference Learning for 2048-Like Games
Kun-Hao Yeh, I-Chen Wu, Chu-Hsuan Hsueh, Chia-Chuan Chang, Chao-Chin Liang, Han Chiang
IEEE Transactions on Computational Intelligence and AI in Games, 9, 4, 369-380, 2017
An analysis for strength improvement of an MCTS-based program playing Chinese dark chess
Chu-Hsuan Hsueh, I-Chen Wu, Wen-Jie Tseng, Shi-Jim Yen, Jr-Chang Chen
Theoretical Computer Science, 644, 63-75, 2016
Belief-state Monte-Carlo Tree Search for Phantom Games
Jiao Wang, Tan Zhu, Hongye Li, Chu-Hsuan Hsueh, I-Chen Wu
2015 IEEE Conference on Computational Intelligence and Games (CIG), 267-274, 2015
Strength Improvement and Analysis for an MCTS-Based Chinese Dark Chess Program
Chu-Hsuan Hsueh, I-Chen Wu, Wen-Jie Tseng, Shi-Jim Yen, Jr-Chang Chen
Advances in Computer Games, ACG 2015, 9525, 29-40, 2015
お邪魔ぷよを活用した作品的で面白いなぞぷよ問題の生成
青山 泰志, シュエ ジュウシュエン, 池田 心
第51回研究報告ゲーム情報学（GI）, 2024-GI-51, 14, 1-8, 2024
プログラムの役割分担によって好ゲームを演出する接待碁AIとその課題
シュエ ジュウシュエン, 池田 心
第51回研究報告ゲーム情報学（GI）, 2024-GI-51, 19, 1-8, 2024
オンライン将棋における対戦相手が不快になりにくいアシストシステムの構築
佐藤 龍, シュエ ジュウシュエン, 池田 心
第51回研究報告ゲーム情報学（GI）, 2024-GI-51, 20, 1-8, 2024
More Human-Like Gameplay by Blending Policies from Supervised and Reinforcement Learning
Tatsuyoshi Ogawa, Chu-Hsuan Hsueh, Kokolo Ikeda
IEEE Transactions on Games, 1-13, 2024
An Empirical Analysis of Gumbel MuZero on Stochastic and Deterministic Einstein Würfelt Nicht!
Chien-Liang Kuo, Po-Ting Chen, Hung Guei, De-Rong Sung, Chu-Hsuan Hsueh, Ti-Rong Wu, I-Chen Wu
The 28th International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2023), -, 2023
Models of Humans' Memory Selection and Forgetting for Generating Shanghai Game Puzzles that Reward Players' Ingenuity
Toshinori Sagara, Chu-Hsuan Hsueh, Kokolo Ikeda
Proceedings of Game Programming Workshop 2023, 2023, 48-55, 2023
Building Assistance Systems in Online Shogi that Avoid Making Opponents Uncomfortable
Ryu Sato, Chu-Hsuan Hsueh, Kokolo Ikeda
Proceedings of Game Programming Workshop 2023, 2023, 119-124, 2023
Procedural Generation of Unsuggested Moves for Go Opening Puzzles
Chu-Hsuan Hsueh, Kokolo Ikeda
Proceedings of Game Programming Workshop 2023, 2023, 131-138, 2023
Tendency Analyses of Players with Different Playing Skills Based on Features from Bad Moves and Go AI
Kyota Kubok, Chu-Hsuan Hsueh, Kokolo Ikeda
Proceedings of Game Programming Workshop 2023, 2023, 168-174, 2023
Factor Analysis for Go AI to Play Good Games
Masahiro Hayashita, Kokolo Ikeda, Chu-Hsuan Hsueh
The 49th meeting of the Game Informatics Research Group, 2023-GI-49, 17, 1-8, 2023
Improvements on A Support System to Help Fighting Game Beginners Understand Mind Games
Makoto Sakemi, Chu-Hsuan Hsueh, Kokolo Ikeda
The 49th meeting of the Game Informatics Research Group, 2023-GI-49, 6, 1-8, 2023
AI Players that Play Mind Games Like Humans in Imperfect-Information Simultaneous Games
Kentaro Konishi, Kokolo Ikeda, Chu-Hsuan Hsueh
The 49th meeting of the Game Informatics Research Group, 2023-GI-49, 4, 1-8, 2023
Teammate AI in Cooperative Games Letting Human Players Play Active Roles
Hirokazu Bando, Kokolo Ikeda, Chu-Hsuan Hsueh
The 49th meeting of the Game Informatics Research Group, 2023-GI-49, 3, 1-8, 2023
A Support System to Help Fighting Game Beginners Understand Mind Games
Makoto Sakemi, Chu-Hsuan Hsueh, Kokolo Ikeda
Proceedings of Game Programming Workshop 2022, 2022, 227-234, 2022
Consideration and Classification of Positions that Are Difficult for Move Prediction Models to Predict
Tatsuyoshi Ogawa, Chu-Hsuan Hsueh, Kokolo Ikeda
Proceedings of Game Programming Workshop 2022, 2022, 180-186, 2022
An Analysis of Human Behavioral Selection for Introducing Cognitive Biases and Biological Constraints into Game AI
Hikaru Sakamoto, Chu-Hsuan Hsueh, Kokolo Ikeda
Proceedings of Game Programming Workshop 2022, 2022, 43-50, 2022
Graph Convolutional Networks for Turn-Based Strategy Games
Wanxiang Li, Houkuan He, Chu-Hsuan Hsueh, Kokolo Ikeda
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, -, 2022
Procedural Maze Generation with Test Player Considering Human-likeness
Keita Fujihira, Chu-Hsuan Hsueh, Kokolo Ikeda
Proceedings of Game Programming Workshop 2021, 2021, 192-199, 2021
Solving 7,7,5-game and 8,8,5-game
Wei-Yuan Hsu, Chu-Ling Ko, Chu-Hsuan Hsueh, I-Chen Wu
The 10th International Conference on Computers and Games (CG2018), 246-257, 2019
Only-One-Victor Pattern Learning in Computer Go
Jiao Wang, Chenjun Xiao, Tan Zhu, Chu-Hsuan Hsueh, Wen-Jie Tseng, I-Chen Wu
IEEE Transactions on Computational Intelligence and AI in Games, 9, 1, 88-102, 2017
Applying Hueristic Algorithms to Portfolio Selection Problem
Po-Ya Kang, I-Chen Wu, Chu-Hsuan Hsueh
2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI), 323-329, 2015
Methods for Solving Killer Sudoku (Translated from Chinese)
Chu-Hsuan Hsueh, Jui-Lin Chen, Yi-Hsuan Chan, Mike Kao, I-Chen Wu, Yu-Long Huang
The 2013 TCGA Computer Game Workshop, -, 2013