Dependency-Based Search for Connect6. - I-Chen Wu; Hao-Hua Kang; Hung-Hsuan Lin; Ping-Hung Lin; Ting-Han Wei; Chieh-Min Chang (Computers and Games, 2013)

On Specific 17-clue Sudoku Puzzles. - Hung-Hsuan Lin; I-Chen Wu; Tinghan Wei (J. Int. Comput. Games Assoc., 2013)

MOBILE6 Wins Connect6 Tournament. - Ting-Han Wei; Wen-Jie Tseng 001; I-Chen Wu; Shi-Jim Yen (J. Int. Comput. Games Assoc., 2013)

Job-Level Algorithms for Connect6 Opening Position Analysis. - Ting-Han Wei; I-Chen Wu; Chao-Chin Liang; Bing-Tsung Chiang; Wen-Jie Tseng 001; Shi-Jim Yen; Chang-Shing Lee (CGW@ECAI, 2014)

A Design for Multi-Pricing High-Performance Computing System. - Lung-Pin Chen; Mike Kao; I-Chen Wu; Ting-Han Wei (ICS, 2014)

Job-level UCT search for solving Hex. - Xi Liang 002; Tinghan Wei; I-Chen Wu (CIG, 2015)

Solving Hex Openings Using Job-Level UCT Search. - Xi Liang 002; Ting-Han Wei; I-Chen Wu (J. Int. Comput. Games Assoc., 2015)

Software Development Framework for Job-Level Algorithms. - Ting-Han Wei; Chao-Chin Liang; I-Chen Wu; Lung-Pin Chen (J. Int. Comput. Games Assoc., 2015)

Job-Level Algorithms for Connect6 Opening Book Construction. - Ting-Han Wei; I-Chen Wu; Chao-Chin Liang; Bing-Tsung Chiang; Wen-Jie Tseng 001; Shi-Jim Yen; Chang-Shing Lee (J. Int. Comput. Games Assoc., 2015)

Job-level computing with BOINC support. - Chia-Chuan Chang; Ting-Han Wei; I-Chen Wu (TAAI, 2016)

Database caching for job-level computing. - Han Chiang; Ting-Han Wei; I-Chen Wu (TAAI, 2016)

Human vs. Computer Go: Review and Prospect [Discussion Forum]. - 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 (IEEE Comput. Intell. Mag., 2016)

Human vs. Computer Go: Review and Prospect. - 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 (CoRR, 2016)

Multi-Labelled Value Networks for Computer Go. - Ti-Rong Wu; I-Chen Wu; Guan-Wun Chen; Ting-Han Wei; Tung-Yi Lai; Hung-Chun Wu; Li-Cheng Lan (CoRR, 2017)

Using 2048-like games as a pedagogical tool for reinforcement learning. - Hung Guei; Ting-Han Wei; I-Chen Wu (J. Int. Comput. Games Assoc., 2018)

Multilabeled Value Networks for Computer Go. - Ti-Rong Wu; I-Chen Wu; Guan-Wun Chen; Ting-Han Wei; Hung-Chun Wu; Tung-Yi Lai; Li-Cheng Lan (IEEE Trans. Games, 2018)

On Strength Adjustment for MCTS-Based Programs. - I-Chen Wu; Ti-Rong Wu; An-Jen Liu; Hung Guei; Tinghan Wei (AAAI, 2019)

Net2Net Extension for the AlphaGo Zero Algorithm. - Hsiao-Chung Hsieh; Ti-Rong Wu; Ting-Han Wei; I-Chen Wu (ACG, 2019)

Multiple Policy Value Monte Carlo Tree Search. - Li-Cheng Lan; Wei Li; Ting-Han Wei; I-Chen Wu (IJCAI, 2019)

Towards Combining On-Off-Policy Methods for Real-World Applications. - Kai-Chun Hu; Chen-Huan Pi; Ting-Han Wei; I-Chen Wu; Stone Cheng; Yi-Wei Dai; Wei-Yuan Ye (CoRR, 2019)

Accelerating and Improving AlphaZero Using Population Based Training. - Ti-Rong Wu; Ting-Han Wei; I-Chen Wu (AAAI, 2020)

Strength Adjustment and Assessment for MCTS-Based Programs [Research Frontier]. - An-Jen Liu; Ti-Rong Wu; I-Chen Wu; Hung Guei; Ting-Han Wei (IEEE Comput. Intell. Mag., 2020)

Sim-To-Real Transfer for Miniature Autonomous Car Racing. - Yeong-Jia Roger Chu; Ting-Han Wei; Jin-Bo Huang; Yuan-Hao Chen; I-Chen Wu (CoRR, 2020)

2048-like games for teaching reinforcement learning. - Hung Guei; Ting-Han Wei; I-Chen Wu (J. Int. Comput. Games Assoc., 2020)

Comparison Training for Computer Chinese Chess. - Jr-Chang Chen; Wen-Jie Tseng 001; I-Chen Wu; Ting-Han Wei (IEEE Trans. Games, 2020)

On solving the 7, 7, 5-game and the 8, 8, 5-game. - Wei-Yuan Hsu; Chu-Ling Ko; Jr-Chang Chen; Ting-Han Wei; Chu-Hsuan Hsueh; I-Chen Wu (Theor. Comput. Sci., 2020)

On the Road to Perfection? Evaluating Leela Chess Zero Against Endgame Tablebases. - Rejwana Haque; Ting-Han Wei; Martin Müller 003 (ACG, 2021)

A Novel Approach to Solving Goal-Achieving Problems for Board Games. - Chung-Chin Shih; Ti-Rong Wu; Ting-Han Wei; I-Chen Wu (AAAI, 2022)

Improving Search in Go Using Bounded Static Safety. - Owen Randall; Ting-Han Wei; Ryan Hayward; Martin Müller 003 (CG, 2022)

AlphaZero-based Proof Cost Network to Aid Game Solving. - Ti-Rong Wu; Chung-Chin Shih; Ting-Han Wei; Meng-Yu Tsai 001; Wei-Yuan Hsu; I-Chen Wu (ICLR, 2022)

Solving NoGo on Small Rectangular Boards. - Haoyu Du; Ting-Han Wei; Martin Müller 003 (ACG, 2023)

Game Solving with Online Fine-Tuning. - Ti-Rong Wu; Hung Guei; Ting-Han Wei; Chung-Chin Shih; Jui-Te Chin; I-Chen Wu (NeurIPS, 2023)

Monte Carlo Tree Search in the Presence of Transition Uncertainty. - Farnaz Kohankhaki; Kiarash Aghakasiri; Hongming Zhang 003; Ting-Han Wei; Chao Gao; Martin Müller 003 (AAAI, 2024)

Solving 7x7 Killall-Go with Seki Database. - Yun-Jui Tsai; Ting-Han Wei; Chi-Huang Lin; Chung-Chin Shih; Hung Guei; I-Chen Wu; Ti-Rong Wu (CG, 2024)

Expected Work Search: Combining Win Rate and Proof Size Estimation. - Owen Randall; Martin Müller 003; Ting-Han Wei; Ryan Hayward (IJCAI, 2024)

A Local-Pattern Related Look-Up Table. - Chung-Chin Shih; Ting-Han Wei; Ti-Rong Wu; I-Chen Wu (IEEE Trans. Games, 2024)

MiniZero: Comparative Analysis of AlphaZero and MuZero on Go, Othello, and Atari Games. - Ti-Rong Wu; Hung Guei; Pei-Chiun Peng; Po-Wei Huang; Ting-Han Wei; Chung-Chin Shih; Yun-Jui Tsai (IEEE Trans. Games, 2025)