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Qixin Sha
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2020 – today
- 2021
- [c1]Rongshun Juan, Jie Huang, Randy Gomez, Keisuke Nakamura, Qixin Sha, Bo He, Guangliang Li:
Shaping Progressive Net of Reinforcement Learning for Policy Transfer with Human Evaluative Feedback. IROS 2021: 1281-1288 - [i2]Jie Huang, Rongshun Juan, Randy Gomez, Keisuke Nakamura, Qixin Sha, Bo He, Guangliang Li:
GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback. CoRR abs/2104.06600 (2021) - 2020
- [j3]Qilei Zhang
, Jinying Lin
, Qixin Sha
, Bo He
, Guangliang Li
:
Deep Interactive Reinforcement Learning for Path Following of Autonomous Underwater Vehicle. IEEE Access 8: 24258-24268 (2020) - [i1]Qilei Zhang, Jinying Lin, Qixin Sha, Bo He, Guangliang Li:
Deep Interactive Reinforcement Learning for Path Following of Autonomous Underwater Vehicle. CoRR abs/2001.03359 (2020)
2010 – 2019
- 2019
- [j2]Bo He, Yan Song, Yuemei Zhu, Qixin Sha, Yue Shen, Tianhong Yan, Rui Nian, Amaury Lendasse:
Local receptive fields based extreme learning machine with hybrid filter kernels for image classification. Multidimens. Syst. Signal Process. 30(3): 1149-1169 (2019) - 2018
- [j1]Yan Song, Shujing Zhang, Bo He, Qixin Sha, Yue Shen, Tianhong Yan, Rui Nian, Amaury Lendasse:
Gaussian derivative models and ensemble extreme learning machine for texture image classification. Neurocomputing 277: 53-64 (2018)
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