Publications
 
Journal Articles
 
1. Chung-Chin Shih, Ti-Rong Wu, Ting Han Wei, Yu-Shan Hsu, Hung Guei, I-Chen Wu, "A Study of Solving Life-and-Death Problems in Go Using Relevance-Zone Based Solvers," IEEE Transactions on Games, volume 18(1), pages 223-228, March 2026.
2. Hung Guei, Yan-Ru Ju, Wei-Yu Chen, Ti-Rong Wu, "Demystifying MuZero Planning: Interpreting the Learned Model," IEEE Transactions on Artificial Intelligence, volume 7(2), pages 1025-1036, February 2026.
3. Ti-Rong Wu, Hung Guei, Pei-Chiun Peng, Po-Wei Huang, Ting Han Wei, Chung-Chin Shih, Yun-Jui Tsai, "MiniZero: Comparative Analysis of AlphaZero and MuZero on Go, Othello, and Atari Games," IEEE Transactions on Games, volume 17(1), pages 125-137, March 2025.
4. Chung-Chin Shih, Ting Han Wei, Ti-Rong Wu, I-Chen Wu, "A Local-Pattern Related Look-Up Table," IEEE Transactions on Games, volume 16(2), pages 282-290, June 2024.
5. An-Jen Liu, Ti-Rong Wu, I-Chen Wu, Hung Guei, Ting-han Wei, "Strength Adjustment and Assessment for MCTS-Based Programs," IEEE Computational Intelligence Magazine, volume 15(3), pages 60–73, August 2020.
6. Ti-Rong Wu, I-Chen Wu, Guan-Wun Chen, Ting-han Wei, Hung-Chun Wu, Tung-Yi Lai, Li-Cheng Lan, "Multilabeled Value Networks for Computer Go," IEEE Transactions on Games, volume 10(4), pages 378–389, December 2018.
 
 
Conference Papers
 
1. Chi-Huang Lin, Ting Han Wei, Chun-Jui Wang, Hung Guei, Chung-Chin Shih, Yun-Jui Tsai, I-Chen Wu, Ti-Rong Wu, "Relevance-Zone Reduction in Game Solving," to appear in Advances in Computer Games (ACG),.
2. Yun-Jui Tsai, Wei-Yu Chen, Yan-Ru Ju, Yu-Hung Chang, Ti-Rong Wu, "Regret-Guided Search Control for Efficient Learning in AlphaZero," the Fourteenth International Conference on Learning Representations (ICLR), April 2026, (Acceptance rate ≈ 28.2%)
3. Jian-Ting Guo, Yu-Cheng Chen, Ping-Chun Hsieh, Kuo-Hao Ho, Po-Wei Huang, Ti-Rong Wu, I-Chen Wu, "Learning Human-Like RL Agents Through Trajectory Optimization With Action Quantization," the Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), December 2025, (Acceptance rate ≈ 24.5%)
4. Chun-Jui Wang, Jian-Ting Guo, Hung Guei, Chung-Chin Shih, Ti-Rong Wu, I-Chen Wu, "Evaluating Game Difficulty in Tetris Block Puzzle," the 30th Game Programming Workshop (GPW-25), November 2025.
5. Yan-Ru Ju, Tai-Lin Wu, Chung-Chin Shih, Ti-Rong Wu, "Bridging Local and Global Knowledge via Transformer in Board Games," the thirty-fourth International Joint Conference on Artificial Intelligence (IJCAI), pages 7446-7454, August 2025, (Acceptance rate ≈ 19.3%)
6. Weichen Liao, Ti-Rong Wu, I-Chen Wu, "Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning," the twenty-fourth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pages 1327-1335, May 2025, (Full paper; Acceptance rate ≈ 24.5%)
7. Chun Jung Chen, Chung-Chin Shih, Ti-Rong Wu, "Strength Estimation and Human-Like Strength Adjustment in Games," the Thirteenth International Conference on Learning Representations (ICLR), April 2025, (Acceptance rate ≈ 32.1%)
8. Po-Wei Huang, Pei-Chiun Peng, Hung Guei, Ti-Rong Wu, "OptionZero: Planning with Learned Options," the Thirteenth International Conference on Learning Representations (ICLR), April 2025, (Oral ≈ 1.8%; Acceptance rate ≈ 32.1%)
9. Yun-Jui Tsai, Ting Han Wei, Chi-Huang Lin, Chung-Chin Shih, Hung Guei, I-Chen Wu, Ti-Rong Wu, "Solving 7x7 Killall-Go with Seki Database," Computers and Games (CG), volume 15550, pages 66-76, April 2025.
10. 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!," the 28th International Conference on Technologies and Applications of Artificial Intelligence (TAAI), December 2023.
11. Ti-Rong Wu, Hung Guei, Ting Han Wei, Chung-Chin Shih, Jui-Te Chin, I-Chen Wu, "Game Solving with Online Fine-Tuning," the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), December 2023, (Acceptance rate ≈ 26.1%)
12. Chih-Yu Kao, Hung Guei, Ti-Rong Wu, I-Chen Wu, "Gumbel MuZero for the Game of 2048," the 27th International Conference on Technologies and Applications of Artificial Intelligence (TAAI), December 2022.
13. Li-Cheng Lan, Huan Zhang, Ti-Rong Wu, Meng-Yu Tsai, I-Chen Wu, Cho-Jui Hsieh, "Are AlphaZero-like Agents Robust to Adversarial Perturbations?," the Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), November 2022, (Acceptance rate ≈ 25.6%)
14. Ti-Rong Wu, Chung-Chin Shih, Ting Han Wei, Meng-Yu Tsai, Wei-Yuan Hsu, I-Chen Wu, "AlphaZero-based Proof Cost Network to Aid Game Solving," the Tenth International Conference on Learning Representations (ICLR), April 2022, (Acceptance rate ≈ 32.3%)
15. Chung-Chin Shih, Ti-Rong Wu, Ting Han Wei, I-Chen Wu, "A Novel Approach to Solving Goal-Achieving Problems for Board Games," the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), volume 36, number 9, February 2022, (Acceptance rate ≈ 15.0%)
16. Li-Cheng Lan, Ti-Rong Wu, I-Chen Wu, Cho-Jui Hsieh, "Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search," the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), volume 35, pages 259–267, February 2021, (Acceptance rate ≈ 21.4%)
17. Hsiao-Chung Hsieh, Ti-Rong Wu, Ting-Han Wei, I-Chen Wu, "Net2Net Extension for the Alphago Zero Algorithm," Advances in Computer Games (ACG), volume 12516, pages 131–142, December 2020.
18. Ti-Rong Wu, Ting-Han Wei, I-Chen Wu, "Accelerating and Improving AlphaZero Using Population Based Training," the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), volume 34, pages 1046–1053, February 2020, (Oral ≈ 5.85%; Acceptance rate ≈ 20.6%)
19. I-Chen Wu, Ti-Rong Wu, An-Jen Liu, Hung Guei, Tinghan Wei, "On Strength Adjustment for MCTS-Based Programs," the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), volume 33, pages 1222–1229, January 2019, (Acceptance rate ≈ 16.2%)
 
 
 
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