Using 2048-like games as a pedagogical tool for reinforcement learning. - Hung Guei; Ting-Han Wei; I-Chen Wu (J. Int. Comput. Games Assoc., 2018)

On Strength Adjustment for MCTS-Based Programs. - I-Chen Wu; Ti-Rong Wu; An-Jen Liu; Hung Guei; Tinghan Wei (AAAI, 2019)

Strength Adjustment and Assessment for MCTS-Based Programs [Research Frontier]. - An-Jen Liu; Ti-Rong Wu; I-Chen Wu; Hung Guei; Ting-Han Wei (IEEE Comput. Intell. Mag., 2020)

2048-like games for teaching reinforcement learning. - Hung Guei; Ting-Han Wei; I-Chen Wu (J. Int. Comput. Games Assoc., 2020)

Gumbel MuZero for the Game of 2048. - Chih-Yu Kao; Hung Guei; Ti-Rong Wu; I-Chen Wu (TAAI, 2022)

On Reinforcement Learning for the Game of 2048. - Hung Guei (CoRR, 2022)

Optimistic Temporal Difference Learning for 2048. - Hung Guei; Lung-Pin Chen; I-Chen Wu (IEEE Trans. Games, 2022)

Game Solving with Online Fine-Tuning. - Ti-Rong Wu; Hung Guei; Ting-Han Wei; Chung-Chin Shih; Jui-Te Chin; I-Chen Wu (NeurIPS, 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 (TAAI (1), 2023)

MuMu Won the EinStein Würfelt Nicht! Tournament. - Po-Ting Chen; Chien-Liang Kuo; De-Rong Sung; Hung Guei; I-Chen Wu (J. Int. Comput. Games Assoc., 2023)

Solving 7x7 Killall-Go with Seki Database. - Yun-Jui Tsai; Ting-Han Wei; Chi-Huang Lin; Chung-Chin Shih; Hung Guei; I-Chen Wu; Ti-Rong Wu (CG, 2024)

Interpreting the Learned Model in MuZero Planning. - Hung Guei; Yan-Ru Ju; Wei-Yu Chen; Ti-Rong Wu (CoRR, 2024)

OptionZero: Planning with Learned Options. - Po-Wei Huang; Pei-Chiun Peng; Hung Guei; Ti-Rong Wu (ICLR, 2025)

MiniZero: Comparative Analysis of AlphaZero and MuZero on Go, Othello, and Atari Games. - Ti-Rong Wu; Hung Guei; Pei-Chiun Peng; Po-Wei Huang; Ting-Han Wei; Chung-Chin Shih; Yun-Jui Tsai (IEEE Trans. Games, 2025)