Yiheng Lin

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 37

Top Topics

Reinforcement Learning

Top Venues

Proc. ACM Meas. Anal. Comput. Syst.

SIGMETRICS (Abstracts)

Publications

Ruiyang Jin, Zaiwei Chen, Yiheng Lin, Jie Song, Adam Wierman
Approximate Global Convergence of Independent Learning in Multi-Agent Systems. CoRR (2024)
Yiheng Lin, James A. Preiss, Fengze Xie, Emile Anand, Soon-Jo Chung, Yisong Yue, Adam Wierman
Online Policy Optimization in Unknown Nonlinear Systems. COLT (2024)
Tianyu Chen, Yiheng Lin, Nicolas Christianson, Zahaib Akhtar, Sharath Dharmaji, Mohammad Hajiesmaili, Adam Wierman, Ramesh K. Sitaraman
SODA: An Adaptive Bitrate Controller for Consistent High-Quality Video Streaming. SIGCOMM (2024)
Yingying Li, James A. Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S. Shamma
Online switching control with stability and regret guarantees. CoRR (2023)
Zhaoyi Zhou, Zaiwei Chen, Yiheng Lin, Adam Wierman
Convergence Rates for Localized Actor-Critic in Networked Markov Potential Games. CoRR (2023)
Zhaoyi Zhou, Zaiwei Chen, Yiheng Lin, Adam Wierman
Convergence rates for localized actor-critic in networked Markov potential games. UAI (2023)
Yiheng Lin, James A. Preiss, Emile Anand, Yingying Li, Yisong Yue, Adam Wierman
Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations. NeurIPS (2023)
Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. SIGMETRICS (Abstracts) (2023)
Yihan Hu, Yiheng Lin, Wei Wang, Yao Zhao, Yunchao Wei, Humphrey Shi
Diffusion for Natural Image Matting. CoRR (2023)
Yingying Li, James A. Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S. Shamma
Online switching control with stability and regret guarantees. L4DC (2023)
Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. Proc. ACM Meas. Anal. Comput. Syst. 7 (1) (2023)
Tongxin Li, Yiheng Lin, Shaolei Ren, Adam Wierman
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions. CoRR (2023)
Tongxin Li, Yiheng Lin, Shaolei Ren, Adam Wierman
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions. NeurIPS (2023)
Sungho Shin, Yiheng Lin, Guannan Qu, Adam Wierman, Mihai Anitescu
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems. SIAM J. Control. Optim. 61 (3) (2023)
Tongxin Li, Ruixiao Yang, Guannan Qu, Yiheng Lin, Steven H. Low, Adam Wierman
Equipping Black-Box Policies with Model-Based Advice for Stable Nonlinear Control. CoRR (2022)
Weici Pan, Guanya Shi, Yiheng Lin, Adam Wierman
Online Optimization with Feedback Delay and Nonlinear Switching Cost. Proc. ACM Meas. Anal. Comput. Syst. 6 (1) (2022)
Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. CoRR (2022)
Yiheng Lin, Judy Gan, Guannan Qu, Yash Kanoria, Adam Wierman
Decentralized Online Convex Optimization in Networked Systems. ICML (2022)
Yiheng Lin, Yang Hu, Guannan Qu, Tongxin Li, Adam Wierman
Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity. NeurIPS (2022)
Sungho Shin, Yiheng Lin, Guannan Qu, Adam Wierman, Mihai Anitescu
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems. CoRR (2022)
Weici Pan, Guanya Shi, Yiheng Lin, Adam Wierman
Online Optimization with Feedback Delay and Nonlinear Switching Cost. SIGMETRICS (Abstracts) (2022)
Yiheng Lin, Yang Hu, Haoyuan Sun, Guanya Shi, Guannan Qu, Adam Wierman
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems. CoRR (2021)
Yiheng Lin
Online Optimization with Predictions and Non-convex Losses. CISS (2021)
Zhengyang Guo, Wenqi Yang, Tingying Yan, Yiheng Lin, Jiawei Wang
Analysis and prediction of COVID-19 trends in the United States. ISAIMS (2021)
Weici Pan, Guanya Shi, Yiheng Lin, Adam Wierman
Online Optimization with Feedback Delay and Nonlinear Switching Cost. CoRR (2021)
Yiheng Lin, Yang Hu, Guanya Shi, Haoyuan Sun, Guannan Qu, Adam Wierman
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems. NeurIPS (2021)
Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman
Multi-Agent Reinforcement Learning in Stochastic Networked Systems. NeurIPS (2021)
Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman
Online Optimization with Memory and Competitive Control. NeurIPS (2020)
Yiheng Lin, Gautam Goel, Adam Wierman
Online Optimization with Predictions and Non-convex Losses. Proc. ACM Meas. Anal. Comput. Syst. 4 (1) (2020)
Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman
Beyond No-Regret: Competitive Control via Online Optimization with Memory. CoRR (2020)
Guannan Qu, Yiheng Lin, Adam Wierman, Na Li
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward. CoRR (2020)
Guannan Qu, Yiheng Lin, Adam Wierman, Na Li
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward. NeurIPS (2020)
Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman
Distributed Reinforcement Learning in Multi-Agent Networked Systems. CoRR (2020)
Yiheng Lin, Gautam Goel, Adam Wierman
Online Optimization with Predictions and Non-convex Losses. SIGMETRICS (Abstracts) (2020)
Yiheng Lin, Gautam Goel, Adam Wierman
Online Optimization with Predictions and Non-convex Losses. CoRR (2019)
Gautam Goel, Yiheng Lin, Haoyuan Sun, Adam Wierman
Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization. NeurIPS (2019)
Gautam Goel, Yiheng Lin, Haoyuan Sun, Adam Wierman
Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization. CoRR (2019)