Wu, I-Chen

17 publications

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

NeurIPS 2025 TaiwanVQA: Benchmarking and Enhancing Cultural Understanding in Vision-Language Models Hsin-Yi Hsieh, Shang-Wei Liu, Chang Chih Meng, Chien-Hua Chen, Shuo-Yueh Lin, Hung-Ju Lin, Hen-Hsen Huang, I-Chen Wu

TMLR 2024 Identifying and Clustering Counter Relationships of Team Compositions in PvP Games for Efficient Balance Analysis Chiu-Chou Lin, Yu-Wei Shih, Kuei-Ting Kuo, Yu-Cheng Chen, Chien-Hua Chen, Wei-Chen Chiu, I-Chen Wu

AAAI 2024 PPO-CLIP Attains Global Optimality: Towards Deeper Understandings of Clipping Nai-Chieh Huang, Ping-Chun Hsieh, Kuo-Hao Ho, I-Chen Wu

TMLR 2024 Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in Games Chiu-Chou Lin, Wei-Chen Chiu, I-Chen 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

ACML 2023 Towards Human-like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games Kuo-Hao Ho, Ping-Chun Hsieh, Chiu-Chou Lin, You-Ren Lou, Feng-Jian Wang, 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

UAI 2021 An Unsupervised Video Game Playstyle Metric via State Discretization Chiu-Chou Lin, Wei-Chen Chiu, I-Chen Wu

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

NeurIPSW 2020 Rethinking Deep Policy Gradients via State-Wise Policy Improvement Kai-Chun Hu, Ping-Chun Hsieh, Ting Han Wei, I-Chen Wu

IJCAI 2019 Multiple Policy Value Monte Carlo Tree Search Li-Cheng Lan, Wei Li, 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

WACV 2019 Stochastic Gradient Descent with Hyperbolic-Tangent Decay on Classification Bo Yang Hsueh, Wei Li, I-Chen Wu