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Yiheng Lin
Yiheng Lin
Verified email at caltech.edu
Title
Cited by
Cited by
Year
Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization
G Goel, Y Lin, H Sun, A Wierman
Advances in Neural Information Processing Systems 32 (2019), 1875-1885, 2019
312019
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward
G Qu, Y Lin, A Wierman, N Li
Advances in Neural Information Processing Systems 33 (2020), 2074-2086, 2020
252020
Online optimization with predictions and non-convex losses
Y Lin, G Goel, A Wierman
Proceedings of the ACM on Measurement and Analysis of Computing Systems 4 (1 …, 2020
232020
Online Optimization with Memory and Competitive Control
G Shi, Y Lin, SJ Chung, Y Yue, A Wierman
Advances in Neural Information Processing Systems 33 (2020), 20636-20647, 2020
19*2020
Distributed reinforcement learning in multi-agent networked systems
Y Lin, G Qu, L Huang, A Wierman
arXiv, 2020
102020
Perturbation-based regret analysis of predictive control in linear time varying systems
Y Lin, Y Hu, G Shi, H Sun, G Qu, A Wierman
Advances in Neural Information Processing Systems 34, 2021
72021
Multi-agent reinforcement learning in stochastic networked systems
Y Lin, G Qu, L Huang, A Wierman
Advances in Neural Information Processing Systems 34, 2021
52021
Multi-agent reinforcement learning in time-varying networked systems
Y Lin, G Qu, L Huang, A Wierman
arXiv e-prints, arXiv: 2006.06555, 2020
52020
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems
S Shin, Y Lin, G Qu, A Wierman, M Anitescu
arXiv preprint arXiv:2204.05551, 2022
2022
Online Optimization with Feedback Delay and Nonlinear Switching Cost
W Pan, G Shi, Y Lin, A Wierman
Proceedings of the ACM on Measurement and Analysis of Computing Systems 6 (1 …, 2022
2022
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Articles 1–10