Wu, Ti-Rong

11 publications

IJCAI 2025 Bridging Local and Global Knowledge via Transformer in Board Games Yan-Ru Ju, Tai-Lin Wu, Chung-Chin Shih, Ti-Rong Wu

NeurIPS 2025 Learning Human-like RL Agents Through Trajectory Optimization with Action Quantization Jian-Ting Guo, Yu-Cheng Chen, Ping-Chun Hsieh, Kuo-Hao Ho, Po-Wei Huang, Ti-Rong Wu, I-Chen Wu

ICLR 2025 OptionZero: Planning with Learned Options Po-Wei Huang, Pei-Chiun Peng, Hung Guei, Ti-Rong Wu

ICLR 2025 Strength Estimation and Human-like Strength Adjustment in Games Chun Jung Chen, Chung-Chin Shih, Ti-Rong Wu

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

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

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

NeurIPS 2022 Are AlphaZero-like Agents Robust to Adversarial Perturbations? Li-Cheng Lan, Huan Zhang, Ti-Rong Wu, Meng-Yu Tsai, I-Chen Wu, Cho-Jui Hsieh

AAAI 2021 Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search Li-Cheng Lan, Ti-Rong Wu, I-Chen Wu, Cho-Jui Hsieh

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

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