| 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 | 31 | 2019 |
| 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 | 25 | 2020 |
| 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 | 23 | 2020 |
| 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 | 10 | 2020 |
| 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 | 7 | 2021 |
| Multi-agent reinforcement learning in stochastic networked systems Y Lin, G Qu, L Huang, A Wierman Advances in Neural Information Processing Systems 34, 2021 | 5 | 2021 |
| Multi-agent reinforcement learning in time-varying networked systems Y Lin, G Qu, L Huang, A Wierman arXiv e-prints, arXiv: 2006.06555, 2020 | 5 | 2020 |
| 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 |
Adam WiermanProfessor of Computing & Mathematical Sciences, CaltechVerified email at caltech.edu
