Multi-Labelled Value Networks for Computer Go. - Ti-Rong Wu; I-Chen Wu; Guan-Wun Chen; Ting-Han Wei; Tung-Yi Lai; Hung-Chun Wu; Li-Cheng Lan (CoRR, 2017)

Multilabeled Value Networks for Computer Go. - Ti-Rong Wu; I-Chen Wu; Guan-Wun Chen; Ting-Han Wei; Hung-Chun Wu; Tung-Yi Lai; Li-Cheng Lan (IEEE Trans. Games, 2018)

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

Net2Net Extension for the AlphaGo Zero Algorithm. - Hsiao-Chung Hsieh; Ti-Rong Wu; Ting-Han Wei; I-Chen Wu (ACG, 2019)

Accelerating and Improving AlphaZero Using Population Based Training. - Ti-Rong Wu; Ting-Han Wei; I-Chen Wu (AAAI, 2020)

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)

Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search. - Li-Cheng Lan; Meng-Yu Tsai 001; Ti-Rong Wu; I-Chen Wu; Cho-Jui Hsieh (CoRR, 2020)

Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search. - Li-Cheng Lan; Ti-Rong Wu; I-Chen Wu; Cho-Jui Hsieh (AAAI, 2021)

A Novel Approach to Solving Goal-Achieving Problems for Board Games. - Chung-Chin Shih; Ti-Rong Wu; Ting-Han Wei; I-Chen Wu (AAAI, 2022)

AlphaZero-based Proof Cost Network to Aid Game Solving. - Ti-Rong Wu; Chung-Chin Shih; Ting-Han Wei; Meng-Yu Tsai 001; Wei-Yuan Hsu; I-Chen Wu (ICLR, 2022)

Are AlphaZero-like Agents Robust to Adversarial Perturbations? - Li-Cheng Lan; Huan Zhang 001; Ti-Rong Wu; Meng-Yu Tsai 001; I-Chen Wu; Cho-Jui Hsieh (NeurIPS, 2022)

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

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)

ResTNet: Defense against Adversarial Policies via Transformer in Computer Go. - Tai-Lin Wu; Ti-Rong Wu; Chung-Chin Shih; Yan-Ru Ju; I-Chen Wu (CoRR, 2024)

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

A Local-Pattern Related Look-Up Table. - Chung-Chin Shih; Ting-Han Wei; Ti-Rong Wu; I-Chen Wu (IEEE Trans. Games, 2024)

Strength Estimation and Human-Like Strength Adjustment in Games. - Chun Jung Chen; Chung-Chin Shih; Ti-Rong Wu (ICLR, 2025)

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

Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning. - Wei-Chen Liao; Ti-Rong Wu; I-Chen Wu (AAMAS, 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)