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| Publications |
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| Journal Articles | | |
| 1. |
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. |
| 2. |
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. |
| 3. |
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. |
| 4. |
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. |
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| Conference Papers | | |
| 1. |
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), May 2025, (Full paper; Acceptance rate ≈ 24.5%) |
| 2. |
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%) |
| 3. |
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%) |
| 4. |
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), April 2025. |
| 5. |
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%) |
| 6. |
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. |
| 7. |
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. |
| 8. |
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%) |
| 9. |
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%) |
| 10. |
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%) |
| 11. |
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%) |
| 12. |
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. |
| 13. |
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%) |
| 14. |
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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