Yueh-Hua Wu

According to our database, Yueh-Hua Wu authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DNAct: Diffusion Guided Multi-Task 3D Policy Learning.

Ge Yan, Yueh-Hua Wu, Xiaolong Wang

CoRR, 2024

2023

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, Li Erran Li, Xiaolong Wang

CoRR, 2023

Elastic Decision Transformer.

Yueh-Hua Wu, Xiaolong Wang, Masashi Hamaya

CoRR, 2023

Elastic Decision Transformer.

Yueh-Hua Wu, Xiaolong Wang, Masashi Hamaya

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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, Li Erran Li, Xiaolong Wang

Proceedings of the Conference on Robot Learning, 2023

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

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Generalizable Dexterous Manipulation from Human Grasp Affordance.

Yueh-Hua Wu, Jiashun Wang, Xiaolong Wang

Proceedings of the Conference on Robot Learning, 2022

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

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Model Imitation for Model-Based Reinforcement Learning.

Yueh-Hua Wu, Ting-Han Fan, Peter J. Ramadge, Hao Su

CoRR, 2019

Imitation Learning from Imperfect Demonstration.

Yueh-Hua Wu, Nontawat Charoenphakdee, Han Bao, Voot Tangkaratt, Masashi Sugiyama

Proceedings of the 36th International Conference on Machine Learning, 2019

A Regulation Enforcement Solution for Multi-agent Reinforcement Learning.

Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

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 Memory-Network Based Solution for Multivariate Time-Series Forecasting.

Yen-Yu Chang, Fan-Yun Sun, Yueh-Hua Wu, Shou-De Lin

CoRR, 2018

Designing Non-greedy Reinforcement Learning Agents with Diminishing Reward Shaping.

Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents.

Yueh-Hua Wu, Shou-De Lin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018