Chu-Hsuan Hsueh

According to our database, Chu-Hsuan Hsueh authored at least 34 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Proposal and generation of endgame puzzles for an imperfect information game Geister.

Chu-Hsuan Hsueh, Takefumi Ishii, Tsuyoshi Hashimoto, Kokolo Ikeda

Entertain. Comput., 2025

2024

Improvement of move naturalness for playing good-quality games with middle-level players.

Chu-Hsuan Hsueh, Kokolo Ikeda

Appl. Intell., 2024

2023

Advances in Computer Games (ACG 2023) conference report.

Michael Hartisch, Chu-Hsuan Hsueh, Jonathan Schaeffer

J. Int. Comput. Games Assoc., 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, 2023

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

Proceedings of the Technologies and Applications of Artificial Intelligence, 2023

Factor Analyses on Positive and Negative Evaluations of Games against Go Programs.

Kyota Kuboki, Chu-Hsuan Hsueh, Kokolo Ikeda

Proceedings of the Technologies and Applications of Artificial Intelligence, 2023

Procedural Content Generation of Super Mario Levels Considering Natural Connection.

SangGyu Nam, Chu-Hsuan Hsueh, Kokolo Ikeda

Proceedings of the 20th IEEE International Joint Conference on Computer Science and Software Engineering, 2023

Improving the Human-Likeness of Game AI's Moves by Combining Multiple Prediction Models.

Tatsuyoshi Ogawa, Chu-Hsuan Hsueh, Kokolo Ikeda

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Can We Infer Move Sequences in Go from Stone Arrangements?

Chu-Hsuan Hsueh, Kokolo Ikeda

Proceedings of the Advances in Computer Games - 18th International Conference, 2023

2022

Generation of Game Stages With Quality and Diversity by Reinforcement Learning in Turn-Based RPG.

Sang-Gyu Nam, Chu-Hsuan Hsueh, Kokolo Ikeda

IEEE Trans. Games, 2022

CLAP_CDC wins Chinese dark chess tournament.

Chu-Hsuan Hsueh, Jr-Chang Chen

J. Int. Comput. Games Assoc., 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

Playing Good-Quality Games with Weak Players by Combining Programs with Different Roles.

Chu-Hsuan Hsueh, Kokolo Ikeda

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

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

J. Inf. Sci. Eng., 2021

Procedural Maze Generation Considering Difficulty from Human Players' Perspectives.

Keita Fujihira, Chu-Hsuan Hsueh, Kokolo Ikeda

Proceedings of the Advances in Computer Games - 17th International Conference, 2021

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

Theor. Comput. Sci., 2020

Analyses of Tabular AlphaZero on NoGo.

Chu-Hsuan Hsueh, Kokolo Ikeda, Sang-Gyu Nam, I-Chen Wu

Proceedings of the International Conference on Technologies and Applications of Artificial Intelligence, 2020

Imitating Agents in A Complex Environment by Generative Adversarial Imitation Learning.

Wanxiang Li, Chu-Hsuan Hsueh, Kokolo Ikeda

Proceedings of the IEEE Conference on Games, 2020

2019

EWIN wins EinStein Würfelt Nicht! tournament.

Chu-Hsuan Hsueh, I-Chen Wu

J. Int. Comput. Games Assoc., 2019

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

Proceedings of the 2019 International Conference on Technologies and Applications of Artificial Intelligence, 2019

Improving Human Players' T-Spin Skills in Tetris with Procedural Problem Generation.

Taishi Oikawa, Chu-Hsuan Hsueh, Kokolo Ikeda

Proceedings of the Advances in Computer Games - 16th International Conference, 2019

2018

Belief-State Monte Carlo Tree Search for Phantom Go.

Jiao Wang, Tan Zhu, Hongye Li, Chu-Hsuan Hsueh, I-Chen Wu

IEEE Trans. Games, 2018

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

J. Int. Comput. Games Assoc., 2018

Solving 7, 7, 5-game and 8, 8, 5-game.

Wei-Yuan Hsu, Chu-Ling Ko, Chu-Hsuan Hsueh, I-Chen Wu

J. Int. Comput. Games Assoc., 2018

AlphaZero for a Non-Deterministic Game.

Chu-Hsuan Hsueh, I-Chen Wu, Jr-Chang Chen, Tsan-sheng Hsu

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2018

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 Trans. Comput. Intell. AI Games, 2017

Only-One-Victor Pattern Learning in Computer Go.

Jiao Wang, Chenjun Xiao, Tan Zhu, Chu-Hsuan Hsueh, Wen-Jie Tseng, I-Chen Wu

IEEE Trans. Comput. Intell. AI Games, 2017

An Agent for EinStein Würfelt Nicht! Using N-Tuple Networks.

Yeong-Jia Roger Chu, Yuan-Hao Chen, Chu-Hsuan Hsueh, I-Chen Wu

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2017

2016

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

Theor. Comput. Sci., 2016

Multi-Stage Temporal Difference Learning for 2048-like Games.

Kun-Hao Yeh, I-Chen Wu, Chu-Hsuan Hsueh, Chia-Chuan Chang, Chao-Chin Liang, Han Chiang

CoRR, 2016

2015

DARKKNIGHT wins Chinese Dark Chess Tournament.

Chu-Hsuan Hsueh, I-Chen Wu

J. Int. Comput. Games Assoc., 2015

Applying hueristic algorithms to portfolio selection problem.

Po-Ya Kang, I-Chen Wu, Chu-Hsuan Hsueh

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2015

Belief-state Monte-Carlo tree search for Phantom games.

Jiao Wang, Tan Zhu, Hongye Li, Chu-Hsuan Hsueh, I-Chen Wu

Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 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

Proceedings of the Advances in Computer Games - 14th International Conference, 2015