A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents. - Yueh-Hua Wu; Shou-De Lin (AAAI, 2018)

Designing Non-greedy Reinforcement Learning Agents with Diminishing Reward Shaping. - Fan-Yun Sun; Yen-Yu Chang; Yueh-Hua Wu; Shou-De Lin (AIES, 2018)

A Memory-Network Based Solution for Multivariate Time-Series Forecasting. - Yen-Yu Chang; Fan-Yun Sun; Yueh-Hua Wu; Shou-De Lin (CoRR, 2018)

ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models. - Yueh-Hua Wu; Fan-Yun Sun; Yen-Yu Chang; Shou-De Lin (CoRR, 2018)

A Regulation Enforcement Solution for Multi-agent Reinforcement Learning. - Fan-Yun Sun; Yen-Yu Chang; Yueh-Hua Wu; Shou-De Lin (AAMAS, 2019)

Imitation Learning from Imperfect Demonstration. - Yueh-Hua Wu; Nontawat Charoenphakdee; Han Bao 002; Voot Tangkaratt; Masashi Sugiyama (ICML, 2019)

Model Imitation for Model-Based Reinforcement Learning. - Yueh-Hua Wu; Ting-Han Fan; Peter J. Ramadge; Hao Su 001 (CoRR, 2019)

CSPNet: A New Backbone that can Enhance Learning Capability of CNN. - Chien-Yao Wang; Hong-Yuan Mark Liao; Yueh-Hua Wu; Ping-Yang Chen; Jun-Wei Hsieh; I-Hau Yeh (CVPR Workshops, 2020)

Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization. - Yueh-Hua Wu; I-Hau Yeh; David Hu; Hong-Yuan Mark Liao (CoRR, 2020)

Learning Generalizable Dexterous Manipulation from Human Grasp Affordance. - Yueh-Hua Wu; Jiashun Wang; Xiaolong Wang 004 (CoRL, 2022)

DexMV: Imitation Learning for Dexterous Manipulation from Human Videos. - Yuzhe Qin; Yueh-Hua Wu; Shaowei Liu; Hanwen Jiang; Ruihan Yang; Yang Fu; Xiaolong Wang 004 (ECCV (39), 2022)

GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields. - Yanjie Ze; Ge Yan; Yueh-Hua Wu; Annabella Macaluso; Yuying Ge; Jianglong Ye; Nicklas Hansen 001; Li Erran Li; Xiaolong Wang 004 (CoRL, 2023)

Elastic Decision Transformer. - Yueh-Hua Wu; Xiaolong Wang 004; Masashi Hamaya (NeurIPS, 2023)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

DNAct: Diffusion Guided Multi-Task 3D Policy Learning. - Ge Yan; Yueh-Hua Wu; Xiaolong Wang 004 (CoRR, 2024)

VLsI: Verbalized Layers-to-Interactions from Large to Small Vision Language Models. - Byung-Kwan Lee; Ryo Hachiuma; Yu-Chiang Frank Wang; Yong Man Ro; Yueh-Hua Wu (CVPR, 2025)

Evolving Deeper LLM Thinking. - Kuang-Huei Lee; Ian Fischer; Yueh-Hua Wu; Dave Marwood; Shumeet Baluja; Dale Schuurmans; Xinyun Chen (CoRR, 2025)

Plan2Align: Predictive Planning Based Test-Time Preference Alignment in Paragraph-Level Machine Translation. - Kuang-Da Wang; Teng-Ruei Chen; Yu-Heng Hung; Shuoyang Ding; Yueh-Hua Wu; Yu-Chiang Frank Wang; Chao-Han Huck Yang; Wen-Chih Peng; Ping-Chun Hsieh (CoRR, 2025)

GenRecal: Generation after Recalibration from Large to Small Vision-Language Models. - Byung-Kwan Lee; Ryo Hachiuma; Yong Man Ro; Yu-Chiang Frank Wang; Yueh-Hua Wu (CoRR, 2025)

ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning. - Chi-Pin Huang; Yueh-Hua Wu; Min-Hung Chen; Yu-Chiang Frank Wang; Fu-En Yang (CoRR, 2025)

LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences. - Yusuke Hirota; Boyi Li; Ryo Hachiuma; Yueh-Hua Wu; Boris Ivanovic; Yuta Nakashima; Marco Pavone 001; Yejin Choi; Yu-Chiang Frank Wang; Chao-Han Huck Yang (CoRR, 2025)