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2020 – today
- 2024
[j13]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)- [c18]Farnaz Kohankhaki, Kiarash Aghakasiri, Hongming Zhang, Ting-Han Wei, Chao Gao, Martin Müller:
Monte Carlo Tree Search in the Presence of Transition Uncertainty. AAAI 2024: 20151-20158 - [c17]Owen Randall, Martin Müller, Ting-Han Wei, Ryan Hayward:
Expected Work Search: Combining Win Rate and Proof Size Estimation. IJCAI 2024: 7003-7011 - [i14]Owen Randall, Martin Müller, Ting-Han Wei, Ryan Hayward:
Expected Work Search: Combining Win Rate and Proof Size Estimation. CoRR abs/2405.05594 (2024) - [i13]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
- [c16]Haoyu Du, Ting-Han Wei, Martin Müller:
Solving NoGo on Small Rectangular Boards. ACG 2023: 39-49 - [c15]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 - [i12]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) - [i11]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) - [i10]Farnaz Kohankhaki, Kiarash Aghakasiri, Hongming Zhang, Ting-Han Wei, Chao Gao, Martin Müller:
Monte Carlo Tree Search in the Presence of Transition Uncertainty. CoRR abs/2312.11348 (2023) - 2022
- [c14]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 - [c13]Owen Randall, Ting-Han Wei, Ryan Hayward, Martin Müller:
Improving Search in Go Using Bounded Static Safety. CG 2022: 14-23 - [c12]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 - [i9]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
- [c11]Rejwana Haque, Ting-Han Wei, Martin Müller:
On the Road to Perfection? Evaluating Leela Chess Zero Against Endgame Tablebases. ACG 2021: 142-152 - [i8]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
- [j12]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) - [j11]Hung Guei, Ting-Han Wei, I-Chen Wu:
2048-like games for teaching reinforcement learning. J. Int. Comput. Games Assoc. 42(1): 14-37 (2020) - [j10]Jr-Chang Chen, Wen-Jie Tseng, I-Chen Wu, Ting-Han Wei:
Comparison Training for Computer Chinese Chess. IEEE Trans. Games 12(2): 169-176 (2020) - [j9]Wei-Yuan Hsu, Chu-Ling Ko, Jr-Chang Chen, Ting-Han Wei, Chu-Hsuan Hsueh, I-Chen Wu:
On solving the 7, 7, 5-game and the 8, 8, 5-game. Theor. Comput. Sci. 815: 79-94 (2020) - [c10]Ti-Rong Wu, Ting-Han Wei, I-Chen Wu:
Accelerating and Improving AlphaZero Using Population Based Training. AAAI 2020: 1046-1053 - [i7]Ti-Rong Wu, Ting-Han Wei, I-Chen Wu:
Accelerating and Improving AlphaZero Using Population Based Training. CoRR abs/2003.06212 (2020) - [i6]Yeong-Jia Roger Chu, Ting-Han Wei, Jin-Bo Huang, Yuan-Hao Chen, I-Chen Wu:
Sim-To-Real Transfer for Miniature Autonomous Car Racing. CoRR abs/2011.05617 (2020)
2010 – 2019
- 2019
- [c9]I-Chen Wu, Ti-Rong Wu, An-Jen Liu, Hung Guei, Tinghan Wei:
On Strength Adjustment for MCTS-Based Programs. AAAI 2019: 1222-1229 - [c8]Hsiao-Chung Hsieh, Ti-Rong Wu, Ting-Han Wei, I-Chen Wu:
Net2Net Extension for the AlphaGo Zero Algorithm. ACG 2019: 131-142 - [c7]Li-Cheng Lan, Wei Li, Ting-Han Wei, I-Chen Wu:
Multiple Policy Value Monte Carlo Tree Search. IJCAI 2019: 4704-4710 - [i5]Kai-Chun Hu, Chen-Huan Pi, Ting-Han Wei, I-Chen Wu, Stone Cheng, Yi-Wei Dai, Wei-Yuan Ye:
Towards Combining On-Off-Policy Methods for Real-World Applications. CoRR abs/1904.10642 (2019) - [i4]Li-Cheng Lan, Wei Li, Ting-Han Wei, I-Chen Wu:
Multiple Policy Value Monte Carlo Tree Search. CoRR abs/1905.13521 (2019) - 2018
- [j8]Hung Guei, Ting-Han Wei, I-Chen Wu:
Using 2048-like games as a pedagogical tool for reinforcement learning. J. Int. Comput. Games Assoc. 40(3): 281-293 (2018) - [j7]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) - [i3]Wen-Jie Tseng, Jr-Chang Chen, I-Chen Wu, Tinghan Wei:
Comparison Training for Computer Chinese Chess. CoRR abs/1801.07411 (2018) - 2017
- [i2]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) - 2016
- [j6]Chang-Shing Lee, Mei-Hui Wang, Shi-Jim Yen, Ting-Han Wei, I-Chen Wu, Ping-Chiang Chou, Chun-Hsun Chou, Ming-Wan Wang, Tai-Hsiung Yang:
Human vs. Computer Go: Review and Prospect [Discussion Forum]. IEEE Comput. Intell. Mag. 11(3): 67-72 (2016) - [c6]Han Chiang, Ting-Han Wei, I-Chen Wu:
Database caching for job-level computing. TAAI 2016: 194-199 - [c5]Chia-Chuan Chang, Ting-Han Wei, I-Chen Wu:
Job-level computing with BOINC support. TAAI 2016: 200-206 - [i1]Chang-Shing Lee, Mei-Hui Wang, Shi-Jim Yen, Ting-Han Wei, I-Chen Wu, Ping-Chiang Chou, Chun-Hsun Chou, Ming-Wan Wang, Tai-Hsiung Yang:
Human vs. Computer Go: Review and Prospect. CoRR abs/1606.02032 (2016) - 2015
- [j5]Ting-Han Wei, Chao-Chin Liang, I-Chen Wu, Lung-Pin Chen:
Software Development Framework for Job-Level Algorithms. J. Int. Comput. Games Assoc. 38(3): 131-148 (2015) - [j4]Xi Liang, Ting-Han Wei, I-Chen Wu:
Solving Hex Openings Using Job-Level UCT Search. J. Int. Comput. Games Assoc. 38(3): 149-164 (2015) - [j3]Ting-Han Wei, I-Chen Wu, Chao-Chin Liang, Bing-Tsung Chiang, Wen-Jie Tseng, Shi-Jim Yen, Chang-Shing Lee:
Job-Level Algorithms for Connect6 Opening Book Construction. J. Int. Comput. Games Assoc. 38(3): 165-179 (2015) - [c4]Xi Liang, Tinghan Wei, I-Chen Wu:
Job-level UCT search for solving Hex. CIG 2015: 222-229 - 2014
- [c3]Ting-Han Wei, I-Chen Wu, Chao-Chin Liang, Bing-Tsung Chiang, Wen-Jie Tseng, Shi-Jim Yen, Chang-Shing Lee:
Job-Level Algorithms for Connect6 Opening Position Analysis. CGW@ECAI 2014: 29-44 - [c2]Lung-Pin Chen, Mike Kao, I-Chen Wu, Ting-Han Wei:
A Design for Multi-Pricing High-Performance Computing System. ICS 2014: 1733-1742 - 2013
- [j2]Hung-Hsuan Lin, I-Chen Wu, Tinghan Wei:
On Specific 17-clue Sudoku Puzzles. J. Int. Comput. Games Assoc. 36(3): 131-138 (2013) - [j1]Ting-Han Wei, Wen-Jie Tseng, I-Chen Wu, Shi-Jim Yen:
MOBILE6 Wins Connect6 Tournament. J. Int. Comput. Games Assoc. 36(3): 178-179 (2013) - [c1]I-Chen Wu, Hao-Hua Kang, Hung-Hsuan Lin, Ping-Hung Lin, Ting-Han Wei, Chieh-Min Chang:
Dependency-Based Search for Connect6. Computers and Games 2013: 1-13
Coauthor Index
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