Automatic cell segmentation by adaptive thresholding (ACSAT) for large-scale calcium imaging datasets SP Shen, H Tseng, KR Hansen, R Wu, HJ Gritton, J Si, X Han eneuro 5 (5), 2018 | 32 | 2018 |
Robotic knee tracking control to mimic the intact human knee profile based on actor-critic reinforcement learning R Wu, Z Yao, J Si, HH Huang IEEE/CAA Journal of Automatica Sinica 9 (1), 19-30, 2021 | 25 | 2021 |
Reinforcement learning impedance control of a robotic prosthesis to coordinate with human intact knee motion R Wu, M Li, Z Yao, W Liu, J Si, H Huang IEEE Robotics and Automation Letters 7 (3), 7014-7020, 2022 | 24 | 2022 |
Inferring human-robot performance objectives during locomotion using inverse reinforcement learning and inverse optimal control W Liu, J Zhong, R Wu, BL Fylstra, J Si, HH Huang IEEE Robotics and Automation Letters 7 (2), 2549-2556, 2022 | 17 | 2022 |
A new robotic knee impedance control parameter optimization method facilitated by inverse reinforcement learning W Liu, R Wu, J Si, H Huang IEEE Robotics and Automation Letters 7 (4), 10882-10889, 2022 | 12 | 2022 |
Human-robotic prosthesis as collaborating agents for symmetrical walking R Wu, J Zhong, B Wallace, X Gao, H Huang, J Si Advances in Neural Information Processing Systems 35, 27306-27320, 2022 | 6 | 2022 |
Reinforcement learning enabled automatic impedance control of a robotic knee prosthesis to mimic the intact knee motion in a co-adapting environment R Wu, M Li, Z Yao, J Si arXiv preprint arXiv:2101.03487, 2021 | 6 | 2021 |
A Long -step Surrogate Stage Reward for Deep Reinforcement Learning J Zhong, R Wu, J Si Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
Long N-step Surrogate Stage Reward to Reduce Variances of Deep Reinforcement Learning in Complex Problems J Zhong, R Wu, J Si arXiv preprint arXiv:2210.04820, 2022 | 1 | 2022 |
Actor-Critic Reinforcement Learning with Phased Actor R Wu, J Zhong, J Si arXiv preprint arXiv:2404.11834, 2024 | | 2024 |
Mitigating Estimation Errors by Twin TD-Regularized Actor and Critic for Deep Reinforcement Learning J Zhong, R Wu, J Si arXiv preprint arXiv:2311.03711, 2023 | | 2023 |
Understanding Human-Prosthesis Interaction via Reinforcement Learning-Based Echo Control: A Case Study R Wu, M Li, J Si, H Huang International Conference on NeuroRehabilitation, 697-701, 2020 | | 2020 |