| 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 | 126 | 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 | 119 | 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 | 90 | 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 |
| Adversarial exploration strategy for self-supervised imitation learning ZW Hong, TJ Fu, TY Shann, YH Chang, CY Lee | 4 | 2018 |
| Reinforcement learning in the presence of sensing costs TYA Shann University of British Columbia, 2022 | 1 | 2022 |
Chun-Yi LeeDepartment of Computer Science, National Tsing Hua UniversityVerified email at cs.nthu.edu.tw
