Yiheng Lin - RankMe

38 papers A* 11A 2Misc 1Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Approximate Global Convergence of Independent Learning in Multi-Agent Systems. AISTATS Ruiyang Jin, Zaiwei Chen, Yiheng Lin, Jie Song, Adam Wierman
2025	J	`jnl`	Fast Non-Episodic Adaptive Tuning of Robot Controllers with Online Policy Optimization. CoRR James A. Preiss, Fengze Xie, Yiheng Lin, Adam Wierman, Yisong Yue
2024	J	`jnl`	Approximate Global Convergence of Independent Learning in Multi-Agent Systems. CoRR Ruiyang Jin, Zaiwei Chen, Yiheng Lin, Jie Song, Adam Wierman
2024	—	`conf`	Characterizing Controllability and Observability for Systems with Locality, Communication, and Actuation Constraints. CDC Lauren E. Conger, Yiheng Lin, Adam Wierman, Eric Mazumdar
2024	A*	`conf`	Online Policy Optimization in Unknown Nonlinear Systems. COLT Yiheng Lin, James A. Preiss, Fengze Xie, Emile Anand, Soon-Jo Chung, Yisong Yue, Adam Wierman
2024	A*	`conf`	SODA: An Adaptive Bitrate Controller for Consistent High-Quality Video Streaming. SIGCOMM Tianyu Chen, Yiheng Lin, Nicolas Christianson, Zahaib Akhtar, Sharath Dharmaji, Mohammad Hajiesmaili, Adam Wierman, Ramesh K. Sitaraman
2023	A*	`conf`	Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions. NeurIPS Tongxin Li, Yiheng Lin, Shaolei Ren, Adam Wierman
2023	J	`jnl`	Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions. CoRR Tongxin Li, Yiheng Lin, Shaolei Ren, Adam Wierman
2023	J	`jnl`	Convergence Rates for Localized Actor-Critic in Networked Markov Potential Games. CoRR Zhaoyi Zhou, Zaiwei Chen, Yiheng Lin, Adam Wierman
2023	A	`conf`	Convergence rates for localized actor-critic in networked Markov potential games. UAI Zhaoyi Zhou, Zaiwei Chen, Yiheng Lin, Adam Wierman
2023	—	`conf`	Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. SIGMETRICS (Abstracts) Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman
2023	J	`jnl`	Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. Proc. ACM Meas. Anal. Comput. Syst. Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman
2023	J	`jnl`	Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems. SIAM J. Control. Optim. Sungho Shin, Yiheng Lin, Guannan Qu, Adam Wierman, Mihai Anitescu
2023	A*	`conf`	Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations. NeurIPS Yiheng Lin, James A. Preiss, Emile Anand, Yingying Li, Yisong Yue, Adam Wierman
2023	—	`conf`	Online switching control with stability and regret guarantees. L4DC Yingying Li, James A. Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S. Shamma
2023	J	`jnl`	Online switching control with stability and regret guarantees. CoRR Yingying Li, James A. Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S. Shamma
2022	A*	`conf`	Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity. NeurIPS Yiheng Lin, Yang Hu, Guannan Qu, Tongxin Li, Adam Wierman
2022	A*	`conf`	Decentralized Online Convex Optimization in Networked Systems. ICML Yiheng Lin, Judy Gan, Guannan Qu, Yash Kanoria, Adam Wierman
2022	J	`jnl`	Equipping Black-Box Policies with Model-Based Advice for Stable Nonlinear Control. CoRR Tongxin Li, Ruixiao Yang, Guannan Qu, Yiheng Lin, Steven H. Low, Adam Wierman
2022	J	`jnl`	Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. CoRR Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman
2022	J	`jnl`	Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems. CoRR Sungho Shin, Yiheng Lin, Guannan Qu, Adam Wierman, Mihai Anitescu
2022	—	`conf`	Online Optimization with Feedback Delay and Nonlinear Switching Cost. SIGMETRICS (Abstracts) Weici Pan, Guanya Shi, Yiheng Lin, Adam Wierman
2022	J	`jnl`	Online Optimization with Feedback Delay and Nonlinear Switching Cost. Proc. ACM Meas. Anal. Comput. Syst. Weici Pan, Guanya Shi, Yiheng Lin, Adam Wierman
2021	A*	`conf`	Multi-Agent Reinforcement Learning in Stochastic Networked Systems. NeurIPS Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman
2021	J	`jnl`	Online Optimization with Feedback Delay and Nonlinear Switching Cost. CoRR Weici Pan, Guanya Shi, Yiheng Lin, Adam Wierman
2021	Misc	`conf`	Online Optimization with Predictions and Non-convex Losses. CISS Yiheng Lin
2021	A*	`conf`	Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems. NeurIPS Yiheng Lin, Yang Hu, Guanya Shi, Haoyuan Sun, Guannan Qu, Adam Wierman
2021	J	`jnl`	Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems. CoRR Yiheng Lin, Yang Hu, Haoyuan Sun, Guanya Shi, Guannan Qu, Adam Wierman
2020	J	`jnl`	Beyond No-Regret: Competitive Control via Online Optimization with Memory. CoRR Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman
2020	J	`jnl`	Distributed Reinforcement Learning in Multi-Agent Networked Systems. CoRR Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman
2020	A*	`conf`	Online Optimization with Memory and Competitive Control. NeurIPS Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman
2020	—	`conf`	Online Optimization with Predictions and Non-convex Losses. SIGMETRICS (Abstracts) Yiheng Lin, Gautam Goel, Adam Wierman
2020	J	`jnl`	Online Optimization with Predictions and Non-convex Losses. Proc. ACM Meas. Anal. Comput. Syst. Yiheng Lin, Gautam Goel, Adam Wierman
2020	A*	`conf`	Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward. NeurIPS Guannan Qu, Yiheng Lin, Adam Wierman, Na Li
2020	J	`jnl`	Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward. CoRR Guannan Qu, Yiheng Lin, Adam Wierman, Na Li
2019	A*	`conf`	Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization. NeurIPS Gautam Goel, Yiheng Lin, Haoyuan Sun, Adam Wierman
2019	J	`jnl`	Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization. CoRR Gautam Goel, Yiheng Lin, Haoyuan Sun, Adam Wierman
2019	J	`jnl`	Online Optimization with Predictions and Non-convex Losses. CoRR Yiheng Lin, Gautam Goel, Adam Wierman