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2020 – today
- 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)- [i9]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) - 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
aka: Tinghan Wei
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