Diversity-driven exploration strategy for deep reinforcement learning ZW Hong, TY Shann, SY Su, YH Chang, TJ Fu, CY Lee Advances in neural information processing systems 31, 2018 | 132 | 2018 |
A deep policy inference q-network for multi-agent systems ZW Hong, SY Su, TY Shann, YH Chang, CY Lee arXiv preprint arXiv:1712.07893, 2017 | 121 | 2017 |
Virtual-to-real: Learning to control in visual semantic segmentation ZW Hong, C Yu-Ming, SY Su, TY Shann, YH Chang, HK Yang, BHL Ho, ... arXiv preprint arXiv:1802.00285, 2018 | 92 | 2018 |
Adversarial active exploration for inverse dynamics model learning ZW Hong, TJ Fu, TY Shann, CY Lee Conference on Robot Learning, 552-565, 2020 | 7 | 2020 |
Analysis and Maintenance of Debris Flow Monitoring System-A Case Study of Events in Aiyuzih River YM Fang, BJ Lee, TY Chou, HP Lien, YH Chang, TC Hsiao, YI Lin, ... 2nd International Conference on Urban Disaster Reduction November, 27-29, 2007 | 5 | 2007 |
Adversarial exploration strategy for self-supervised imitation learning ZW Hong, TJ Fu, TY Shann, YH Chang, CY Lee | 4 | 2019 |
Identification of Meloidogyne arenaria on peanut of Taiwan. YH Chang, CC Tu | 4 | 1981 |
Construction of macro actions for deep reinforcement learning YH Chang, KY Chang, H Kuo, CY Lee | 3 | 2019 |
Reusability and Transferability of Macro Actions for Reinforcement Learning YH Chang, KY Chang, H Kuo, CY Lee ACM Transactions on Evolutionary Learning and Optimization 2 (1), 1-16, 2022 | | 2022 |
A fusarial wilt nursery and a crown rot nursery for screening resistant hybrid lines and varieties of asparagus in Taiwan. CC Tu, YH Cheng, AH Chang | | 1983 |
A Self-Supervised Method for Mapping Human Instructions to Robot Policies HW Yu, PY Wu, CA Tsao, YA Shen, SH Lin, ZW Hong, YH Chang, CY Lee | | |