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2020 – today
- 2026
[j6]Hung Guei
, Yan-Ru Ju, Wei-Yu Chen, Ti-Rong Wu:
Demystifying MuZero Planning: Interpreting the Learned Model. IEEE Trans. Artif. Intell. 7(2): 1025-1036 (2026)- [j5]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 Trans. Games 18(1): 223-228 (2026) - [i22]Yun-Jui Tsai, Wei-Yu Chen, Yan-Ru Ju, Yu-Hung Chang, Ti-Rong Wu:
Regret-Guided Search Control for Efficient Learning in AlphaZero. CoRR abs/2602.20809 (2026) - [i21]Chun-Jui Wang, Jian-Ting Guo, Hung Guei, Chung-Chin Shih, Ti-Rong Wu, I-Chen Wu:
Evaluating Game Difficulty in Tetris Block Puzzle. CoRR abs/2603.18994 (2026) - [i20]Qian-Rong Li, Hung Guei, I-Chen Wu, Ti-Rong Wu:
MAPLE: Multi-State Aggregated Policy Evaluation for AlphaZero in Imperfect-Information Games. CoRR abs/2605.24139 (2026) - [i19]Hsing-Yu Chen, Jérôme Arjonilla, I-Chen Wu, Ti-Rong Wu:
WallZero: Mastering the Game of WallGo with Strategic Analysis. CoRR abs/2606.17847 (2026) - [i18]Kuan-Yen Liu, Ren-Jyun Huang, Ti-Rong Wu:
LaGO: Latent Action Guidance for Online Reinforcement Learning. CoRR abs/2606.24669 (2026) - 2025
- [j4]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 Trans. Games 17(1): 125-137 (2025) - [c17]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. ACG 2025: 3-12 - [c16]Chun Jung Chen, Chung-Chin Shih, Ti-Rong Wu:
Strength Estimation and Human-Like Strength Adjustment in Games. ICLR 2025 - [c15]Po-Wei Huang, Pei-Chiun Peng, Hung Guei, Ti-Rong Wu:
OptionZero: Planning with Learned Options. ICLR 2025 - [c14]Wei-Chen Liao, Ti-Rong Wu, I-Chen Wu:
Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning. AAMAS 2025: 1327-1335 - [c13]Yan-Ru Ju, Tai-Lin Wu, Chung-Chin Shih, Ti-Rong Wu:
Bridging Local and Global Knowledge via Transformer in Board Games. IJCAI 2025: 7446-7454 - [c12]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. NeurIPS 2025 - [i17]Po-Wei Huang, Pei-Chiun Peng, Hung Guei, Ti-Rong Wu:
OptionZero: Planning with Learned Options. CoRR abs/2502.16634 (2025) - [i16]Chun Jung Chen, Chung-Chin Shih, Ti-Rong Wu:
Strength Estimation and Human-Like Strength Adjustment in Games. CoRR abs/2502.17109 (2025) - [i15]Wei-Chen Liao, Ti-Rong Wu, I-Chen Wu:
Dynamic Sight Range Selection in Multi-Agent Reinforcement Learning. CoRR abs/2505.12811 (2025) - [i14]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. CoRR abs/2510.00689 (2025) - [i13]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. CoRR abs/2511.15055 (2025) - [i12]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. CoRR abs/2512.21365 (2025) - 2024
- [j3]Chung-Chin Shih, Ting-Han Wei, Ti-Rong Wu, I-Chen Wu:
A Local-Pattern Related Look-Up Table. IEEE Trans. Games 16(2): 282-290 (2024) - [c11]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. CG 2024: 66-76 - [i11]Tai-Lin Wu, Ti-Rong Wu, Chung-Chin Shih, Yan-Ru Ju, I-Chen Wu:
ResTNet: Defense against Adversarial Policies via Transformer in Computer Go. CoRR abs/2410.05347 (2024) - [i10]Hung Guei, Yan-Ru Ju, Wei-Yu Chen, Ti-Rong Wu:
Interpreting the Learned Model in MuZero Planning. CoRR abs/2411.04580 (2024) - [i9]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. CoRR abs/2411.05565 (2024) - 2023
- [c10]Ti-Rong Wu, Hung Guei, Ting-Han Wei, Chung-Chin Shih, Jui-Te Chin, I-Chen Wu:
Game Solving with Online Fine-Tuning. NeurIPS 2023 - [c9]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! TAAI (1) 2023: 329-342 - [i8]Ti-Rong Wu, Hung Guei, Po-Wei Huang, Pei-Chiun Peng, Ting-Han Wei, Chung-Chin Shih, Yun-Jui Tsai:
MiniZero: Comparative Analysis of AlphaZero and MuZero on Go, Othello, and Atari Games. CoRR abs/2310.11305 (2023) - [i7]Ti-Rong Wu, Hung Guei, Ting-Han Wei, Chung-Chin Shih, Jui-Te Chin, I-Chen Wu:
Game Solving with Online Fine-Tuning. CoRR abs/2311.07178 (2023) - 2022
- [c8]Chung-Chin Shih, Ti-Rong Wu, Ting-Han Wei, I-Chen Wu:
A Novel Approach to Solving Goal-Achieving Problems for Board Games. AAAI 2022: 10362-10369 - [c7]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. ICLR 2022 - [c6]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? NeurIPS 2022 - [c5]Chih-Yu Kao, Hung Guei, Ti-Rong Wu, I-Chen Wu:
Gumbel MuZero for the Game of 2048. TAAI 2022: 42-47 - [i6]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? CoRR abs/2211.03769 (2022) - [i5]Chung-Chin Shih, Ting-Han Wei, Ti-Rong Wu, I-Chen Wu:
A Local-Pattern Related Look-Up Table. CoRR abs/2212.13922 (2022) - 2021
- [c4]Li-Cheng Lan, Ti-Rong Wu, I-Chen Wu, Cho-Jui Hsieh:
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search. AAAI 2021: 259-267 - [i4]Chung-Chin Shih, Ti-Rong Wu, Ting-Han Wei, I-Chen Wu:
A Novel Approach to Solving Goal-Achieving Problems for Board Games. CoRR abs/2112.02563 (2021) - 2020
- [j2]An-Jen Liu, Ti-Rong Wu, I-Chen Wu, Hung Guei, Ting-Han Wei:
Strength Adjustment and Assessment for MCTS-Based Programs [Research Frontier]. IEEE Comput. Intell. Mag. 15(3): 60-73 (2020) - [c3]Ti-Rong Wu, Ting-Han Wei, I-Chen Wu:
Accelerating and Improving AlphaZero Using Population Based Training. AAAI 2020: 1046-1053 - [i3]Ti-Rong Wu, Ting-Han Wei, I-Chen Wu:
Accelerating and Improving AlphaZero Using Population Based Training. CoRR abs/2003.06212 (2020) - [i2]Li-Cheng Lan, Meng-Yu Tsai, Ti-Rong Wu, I-Chen Wu, Cho-Jui Hsieh:
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search. CoRR abs/2012.07910 (2020)
2010 – 2019
- 2019
- [c2]I-Chen Wu, Ti-Rong Wu, An-Jen Liu, Hung Guei, Tinghan Wei:
On Strength Adjustment for MCTS-Based Programs. AAAI 2019: 1222-1229 - [c1]Hsiao-Chung Hsieh, Ti-Rong Wu, Ting-Han Wei, I-Chen Wu:
Net2Net Extension for the AlphaGo Zero Algorithm. ACG 2019: 131-142 - 2018
- [j1]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 Trans. Games 10(4): 378-389 (2018) - 2017
- [i1]Ti-Rong Wu, I-Chen Wu, Guan-Wun Chen, Ting-Han Wei, Tung-Yi Lai, Hung-Chun Wu, Li-Cheng Lan:
Multi-Labelled Value Networks for Computer Go. CoRR abs/1705.10701 (2017)
Coauthor Index
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last updated on 2026-07-10 02:08 CEST by the dblp team
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