Các bài viết có thể truy cập công khai - Jie TanTìm hiểu thêm
Có tại một số nơi: 14
Adaptive power system emergency control using deep reinforcement learning
Q Huang, R Huang, W Hao, J Tan, R Fan, Z Huang
IEEE Transactions on Smart Grid 11 (2), 1171-1182, 2019
Các cơ quan ủy nhiệm: US Department of Energy
On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward
HS Choi, C Crump, C Duriez, A Elmquist, G Hager, D Han, F Hearl, ...
Proceedings of the National Academy of Sciences 118 (1), e1907856118, 2021
Các cơ quan ủy nhiệm: US National Science Foundation
Legged robots that keep on learning: Fine-tuning locomotion policies in the real world
L Smith, JC Kew, XB Peng, S Ha, J Tan, S Levine
2022 International Conference on Robotics and Automation (ICRA), 1593-1599, 2022
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
Learning to dress: Synthesizing human dressing motion via deep reinforcement learning
A Clegg, W Yu, J Tan, CK Liu, G Turk
ACM Transactions on Graphics (TOG) 37 (6), 1-10, 2018
Các cơ quan ủy nhiệm: US National Science Foundation
Accelerated derivative-free deep reinforcement learning for large-scale grid emergency voltage control
R Huang, Y Chen, T Yin, X Li, A Li, J Tan, W Yu, Y Liu, Q Huang
IEEE Transactions on Power Systems 37 (1), 14-25, 2021
Các cơ quan ủy nhiệm: US Department of Energy
Haptic simulation for robot-assisted dressing
W Yu, A Kapusta, J Tan, CC Kemp, G Turk, CK Liu
2017 IEEE international conference on robotics and automation (ICRA), 6044-6051, 2017
Các cơ quan ủy nhiệm: US National Science Foundation, US National Institutes of Health
Simulation-Based Design of Dynamic Controllers for Humanoid Balancing
J Tan, Z Xie, B Boots, K Liu
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016
Các cơ quan ủy nhiệm: US National Science Foundation, US National Institutes of Health
Learning and fast adaptation for grid emergency control via deep meta reinforcement learning
R Huang, Y Chen, T Yin, Q Huang, J Tan, W Yu, X Li, A Li, Y Du
IEEE Transactions on Power Systems 37 (6), 4168-4178, 2022
Các cơ quan ủy nhiệm: US Department of Energy
Animating human dressing
A Clegg, J Tan, G Turk, CK Liu
ACM Transactions on Graphics (TOG) 34 (4), 1-9, 2015
Các cơ quan ủy nhiệm: US National Institutes of Health
Safe reinforcement learning for legged locomotion
TY Yang, T Zhang, L Luu, S Ha, J Tan, W Yu
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
Các cơ quan ủy nhiệm: US National Science Foundation
Learning to navigate cloth using haptics
A Clegg, W Yu, Z Erickson, J Tan, CK Liu, G Turk
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
Các cơ quan ủy nhiệm: US National Science Foundation
Physics-informed evolutionary strategy based control for mitigating delayed voltage recovery
Y Du, Q Huang, R Huang, T Yin, J Tan, W Yu, X Li
IEEE Transactions on Power Systems 37 (5), 3516-3527, 2021
Các cơ quan ủy nhiệm: US Department of Energy
How to train your guide dog: Wayfinding and safe navigation with human-robot modeling
JT Kim, W Yu, J Tan, G Turk, S Ha
Companion of the 2023 ACM/IEEE International Conference on Human-Robot …, 2023
Các cơ quan ủy nhiệm: US National Science Foundation
Autonomous control of a tendon-driven robotic limb with elastic elements reveals that added elasticity can enhance learning
A Marjaninejad, J Tan, F Valero-Cuevas
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
Các cơ quan ủy nhiệm: US Department of Defense, US National Institutes of Health
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