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Yueh-Hua Wu
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2020 – today
- 2024
- [i13]Ge Yan, Yueh-Hua Wu, Xiaolong Wang:
DNAct: Diffusion Guided Multi-Task 3D Policy Learning. CoRR abs/2403.04115 (2024) - 2023
- [c9]Yanjie Ze, Ge Yan, Yueh-Hua Wu, Annabella Macaluso, Yuying Ge, Jianglong Ye, Nicklas Hansen, Li Erran Li, Xiaolong Wang:
GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields. CoRL 2023: 284-301 - [c8]Yueh-Hua Wu, Xiaolong Wang, Masashi Hamaya:
Elastic Decision Transformer. NeurIPS 2023 - [i12]Yueh-Hua Wu, Xiaolong Wang, Masashi Hamaya:
Elastic Decision Transformer. CoRR abs/2307.02484 (2023) - [i11]Yanjie Ze, Ge Yan, Yueh-Hua Wu, Annabella Macaluso, Yuying Ge, Jianglong Ye, Nicklas Hansen, Li Erran Li, Xiaolong Wang:
GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields. CoRR abs/2308.16891 (2023) - 2022
- [c7]Yueh-Hua Wu, Jiashun Wang, Xiaolong Wang:
Learning Generalizable Dexterous Manipulation from Human Grasp Affordance. CoRL 2022: 618-629 - [c6]Yuzhe Qin, Yueh-Hua Wu, Shaowei Liu, Hanwen Jiang, Ruihan Yang, Yang Fu, Xiaolong Wang:
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos. ECCV (39) 2022: 570-587 - [i10]Yueh-Hua Wu, Jiashun Wang, Xiaolong Wang:
Learning Generalizable Dexterous Manipulation from Human Grasp Affordance. CoRR abs/2204.02320 (2022) - 2021
- [i9]Yuzhe Qin, Yueh-Hua Wu, Shaowei Liu, Hanwen Jiang, Ruihan Yang, Yang Fu, Xiaolong Wang:
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos. CoRR abs/2108.05877 (2021) - 2020
- [c5]Chien-Yao Wang, Hong-Yuan Mark Liao, Yueh-Hua Wu, Ping-Yang Chen, Jun-Wei Hsieh, I-Hau Yeh:
CSPNet: A New Backbone that can Enhance Learning Capability of CNN. CVPR Workshops 2020: 1571-1580 - [i8]Yueh-Hua Wu, I-Hau Yeh, David Hu, Hong-Yuan Mark Liao:
Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization. CoRR abs/2005.09624 (2020)
2010 – 2019
- 2019
- [c4]Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin:
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning. AAMAS 2019: 2201-2203 - [c3]Yueh-Hua Wu, Nontawat Charoenphakdee, Han Bao, Voot Tangkaratt, Masashi Sugiyama:
Imitation Learning from Imperfect Demonstration. ICML 2019: 6818-6827 - [i7]Yueh-Hua Wu, Nontawat Charoenphakdee, Han Bao, Voot Tangkaratt, Masashi Sugiyama:
Imitation Learning from Imperfect Demonstration. CoRR abs/1901.09387 (2019) - [i6]Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin:
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning. CoRR abs/1901.10059 (2019) - [i5]Yueh-Hua Wu, Ting-Han Fan, Peter J. Ramadge, Hao Su:
Model Imitation for Model-Based Reinforcement Learning. CoRR abs/1909.11821 (2019) - [i4]Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh, Yueh-Hua Wu, Ping-Yang Chen, Jun-Wei Hsieh:
CSPNet: A New Backbone that can Enhance Learning Capability of CNN. CoRR abs/1911.11929 (2019) - 2018
- [c2]Yueh-Hua Wu, Shou-De Lin:
A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents. AAAI 2018: 1687-1694 - [c1]Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin:
Designing Non-greedy Reinforcement Learning Agents with Diminishing Reward Shaping. AIES 2018: 297-302 - [i3]Yen-Yu Chang, Fan-Yun Sun, Yueh-Hua Wu, Shou-De Lin:
A Memory-Network Based Solution for Multivariate Time-Series Forecasting. CoRR abs/1809.02105 (2018) - [i2]Yueh-Hua Wu, Fan-Yun Sun, Yen-Yu Chang, Shou-De Lin:
ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models. CoRR abs/1809.02112 (2018) - 2017
- [i1]Yueh-Hua Wu, Shou-De Lin:
A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents. CoRR abs/1712.04172 (2017)
Coauthor Index
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