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Yu Luo
Yu Luo
Department of Computer Science and Technology, Tsinghua University
Verified email at mails.tsinghua.edu.cn
Title
Cited by
Cited by
Year
Robust event‐triggered model predictive control for constrained linear continuous system
Y Luo, Y Xia, Z Sun
International Journal of Robust and Nonlinear Control 29 (5), 1216-1229, 2019
502019
Robust MPC for disturbed nonlinear discrete-time systems via a composite self-triggered scheme
H Xie, L Dai, Y Luo, Y Xia
Automatica 127, 109499, 2021
402021
Event‐triggered model predictive control for disturbed linear systems under two‐channel transmissions
X Hu, H Yu, F Hao, Y Luo
International Journal of Robust and Nonlinear Control 30 (16), 6701-6719, 2020
242020
When to update your model: Constrained model-based reinforcement learning
T Ji, Y Luo, F Sun, M Jing, F He, W Huang
Advances in Neural Information Processing Systems 35, 23150-23163, 2022
112022
Drm: Mastering visual reinforcement learning through dormant ratio minimization
G Xu, R Zheng, Y Liang, X Wang, Z Yuan, T Ji, Y Luo, X Liu, J Yuan, ...
arXiv preprint arXiv:2310.19668, 2023
92023
Seizing serendipity: Exploiting the value of past success in off-policy actor-critic
T Ji, Y Luo, F Sun, X Zhan, J Zhang, H Xu
arXiv preprint arXiv:2306.02865, 2023
92023
Cooperative distributed model predictive control for robot in-hand manipulation
Y Chen, Y Luo, F Sun
Robotic Intelligence and Automation 43 (1), 65-74, 2023
72023
Leader-following consensus and trajectory tracking for nonholonomic mobile robots
S Wu, Y Xia, M Lin, Y Luo
2018 Chinese Automation Congress (CAC), 3678-3683, 2018
62018
Self-triggered Model predictive control for continue linear constrained system: Robustness and stability
Y Luo, Y Xia, Z Sun
2018 37th Chinese Control Conference (CCC), 3612-3617, 2018
52018
Event-triggered cooperative formation control for multi-agent system with dynamic role assignment
S Wu, Y Xia, Y Luo, M Lin
2019 Chinese Control Conference (CCC), 6130-6135, 2019
32019
Goal-Conditioned Hierarchical Reinforcement Learning With High-Level Model Approximation
Y Luo, T Ji, F Sun, H Liu, J Zhang, M Jing, W Huang
IEEE Transactions on Neural Networks and Learning Systems, 2024
12024
Exceptional Laurent biorthogonal polynomials through spectral transformations of generalized eigenvalue problems
Y Luo, S Tsujimoto
Studies in Applied Mathematics 151 (2), 585-615, 2023
12023
A Robust Tube-Based Smooth-MPC for Robot Manipulator Planning
Y Luo, M Jing, T Ji, F Sun, H Liu
arXiv preprint arXiv:2103.09693, 2021
12021
Bidirectional-Reachable Hierarchical Reinforcement Learning with Mutually Responsive Policies
Y Luo, F Sun, T Ji, X Zhan
arXiv preprint arXiv:2406.18053, 2024
2024
OMPO: A Unified Framework for RL under Policy and Dynamics Shifts
Y Luo, T Ji, F Sun, J Zhang, H Xu, X Zhan
arXiv preprint arXiv:2405.19080, 2024
2024
Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL
Y Luo, T Ji, F Sun, J Zhang, H Xu, X Zhan
arXiv preprint arXiv:2405.18520, 2024
2024
Smooth Computation without Input Delay: Robust Tube-Based Model Predictive Control for Robot Manipulator Planning
Y Luo, Q Sima, T Ji, F Sun, H Liu, J Zhang
arXiv preprint arXiv:2403.01265, 2024
2024
ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
T Ji, Y Liang, Y Zeng, Y Luo, G Xu, J Guo, R Zheng, F Huang, F Sun, H Xu
arXiv preprint arXiv:2402.14528, 2024
2024
Recurrence relations of Exceptional Laurent biorthogonal polynomials
Y Luo, S Tsujimoto, H Yang
arXiv preprint arXiv:2402.06197, 2024
2024
Leveraging Causal Policy-Reward Entropy for Enhanced Exploration
T Ji, Y Zeng, Y Luo, X Zhan
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