Yueh-Hua Wu
Yueh-Hua Wu
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CSPNet: A new backbone that can enhance learning capability of CNN
CY Wang, HYM Liao, YH Wu, PY Chen, JW Hsieh, IH Yeh
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Imitation learning from imperfect demonstration
YH Wu, N Charoenphakdee, H Bao, V Tangkaratt, M Sugiyama
International Conference on Machine Learning, 6818-6827, 2019
Dexmv: Imitation learning for dexterous manipulation from human videos
Y Qin, YH Wu, S Liu, H Jiang, R Yang, Y Fu, X Wang
European Conference on Computer Vision, 570-587, 2022
Open x-embodiment: Robotic learning datasets and rt-x models
A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ...
arXiv preprint arXiv:2310.08864, 2023
A memory-network based solution for multivariate time-series forecasting
YY Chang, FY Sun, YH Wu, SD Lin
arXiv preprint arXiv:1809.02105, 2018
A low-cost ethics shaping approach for designing reinforcement learning agents
YH Wu, SD Lin
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
Learning generalizable dexterous manipulation from human grasp affordance
YH Wu, J Wang, X Wang
Conference on Robot Learning, 618-629, 2023
Gnfactor: Multi-task real robot learning with generalizable neural feature fields
Y Ze, G Yan, YH Wu, A Macaluso, Y Ge, J Ye, N Hansen, LE Li, X Wang
Conference on Robot Learning, 284-301, 2023
Elastic decision transformer
YH Wu, X Wang, M Hamaya
Advances in Neural Information Processing Systems 36, 2024
Designing non-greedy reinforcement learning agents with diminishing reward shaping
FY Sun, YY Chang, YH Wu, SD Lin
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 297-302, 2018
Model imitation for model-based reinforcement learning
YH Wu, TH Fan, PJ Ramadge, H Su
arXiv preprint arXiv:1909.11821, 2019
A regulation enforcement solution for multi-agent reinforcement learning
FY Sun, YY Chang, YH Wu, SD Lin
arXiv preprint arXiv:1901.10059, 2019
ANS: adaptive network scaling for deep rectifier reinforcement learning models
YH Wu, FY Sun, YY Chang, SD Lin
arXiv preprint arXiv:1809.02112, 2018
An ensemble of ranking strategies for static rank prediction in a large heterogeneous graph
S Chang, S Go, Y Wu, Y Lee, C Lai, S Yu, C Chen, H Chen, M Tsai, M Yeh, ...
WSDM Cup, 2016
Dnact: Diffusion guided multi-task 3d policy learning
G Yan, YH Wu, X Wang
arXiv preprint arXiv:2403.04115, 2024
Time-Aware Weighted Page Rank for Paper Ranking in Academic Graphs
CC Hsu, KH Chan, MH Feng, YH Wu, HY Chen, SH Yu, CW Chen, ...
Proceedings of the 9th ACM International Conference on Web Search and Data …, 2016
Batch-augmented multi-agent reinforcement learning for efficient traffic signal optimization
YH Wu, IH Yeh, D Hu, HYM Liao
arXiv preprint arXiv:2005.09624, 2020
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