Tiancheng Yu - RankMe

34 papers A* 11B 1Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A dual-to-multi-mode end effector: design, evaluation and optimal mode selection for abnormal leaf removal in hydroponic lettuce. Comput. Electron. Agric. Tiancheng Yu, Jin Chen, Huanyu Jiang
2024	J	`jnl`	A 0.5-8GHz Reconfigurable CMOS RF Receiver Front-End for CR and DPA Applications. IEEE Trans. Circuits Syst. II Express Briefs Hui Nie, Tiancheng Yu, Jiangbo Chen, Jiabing Liu, Dongdong Liu, Xiaopeng Yu, Qun Jane Gu, Zhiwei Xu
2024	J	`jnl`	V-Learning - A Simple, Efficient, Decentralized Algorithm for Multiagent Reinforcement Learning. Math. Oper. Res. Chi Jin, Qinghua Liu, Yuanhao Wang, Tiancheng Yu
2023	J	`jnl`	Climate Policy Risk and Corporate Financial Decisions: Evidence from the NO Manag. Sci. Viet Anh Dang, Ning Gao, Tiancheng Yu
2023	—	`conf`	Modeling of Shape Memory Alloy Artificial Wrist Joint via Modified Prandtl-Ishlinskii Hysteresis Model. ICARM Ying Feng, Tiancheng Yu
2023	—	`—`	Near-Optimal Learning in Sequential Games Tiancheng Yu
2023	A*	`conf`	The Power of Regularization in Solving Extensive-Form Games. ICLR Mingyang Liu, Asuman E. Ozdaglar, Tiancheng Yu, Kaiqing Zhang
2023	—	`conf`	Tracking Control of Shape Memory Alloy Artificial Wrist Joint Based on Generalized Prandtl-Ishlinskii Inverse Model. ICDL Ying Feng, Tiancheng Yu
2022	A*	`conf`	Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent. NeurIPS Yu Bai, Chi Jin, Song Mei, Ziang Song, Tiancheng Yu
2022	J	`jnl`	Efficient Φ-Regret Minimization in Extensive-Form Games via Online Mirror Descent. CoRR Yu Bai, Chi Jin, Song Mei, Ziang Song, Tiancheng Yu
2022	J	`jnl`	Low-cost turn compensation control system for conserving seeds and increasing yields from maize precision planters. Comput. Electron. Agric. Youqiang Ding, Xiantao He, Li Yang, Dongxing Zhang, Tao Cui, Yuhuan Li, Xiangjun Zhong, Chunji Xie, Zhaohui Du, Tiancheng Yu
2022	A*	`conf`	Near-Optimal Learning of Extensive-Form Games with Imperfect Information. ICML Yu Bai, Chi Jin, Song Mei, Tiancheng Yu
2022	J	`jnl`	Near-Optimal Learning of Extensive-Form Games with Imperfect Information. CoRR Yu Bai, Chi Jin, Song Mei, Tiancheng Yu
2022	A*	`conf`	The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces. ICML Chi Jin, Qinghua Liu, Tiancheng Yu
2022	J	`jnl`	The Power of Regularization in Solving Extensive-Form Games. CoRR Mingyang Liu, Asuman E. Ozdaglar, Tiancheng Yu, Kaiqing Zhang
2021	A*	`conf`	A Sharp Analysis of Model-based Reinforcement Learning with Self-Play. ICML Qinghua Liu, Tiancheng Yu, Yu Bai, Chi Jin
2021	J	`jnl`	Experimental analysis on the variation law of sensor monitoring accuracy under different seeding speed and seeding spacing. Comput. Electron. Agric. Chunji Xie, Dongxing Zhang, Li Yang, Tao Cui, Tiancheng Yu, Decheng Wang, Tianpu Xiao
2021	A*	`conf`	Online Learning in Unknown Markov Games. ICML Yi Tian, Yuanhao Wang, Tiancheng Yu, Suvrit Sra
2021	A*	`conf`	Provably Efficient Algorithms for Multi-Objective Competitive RL. ICML Tiancheng Yu, Yi Tian, Jingzhao Zhang, Suvrit Sra
2021	J	`jnl`	Provably Efficient Algorithms for Multi-Objective Competitive RL. CoRR Tiancheng Yu, Yi Tian, Jingzhao Zhang, Suvrit Sra
2021	J	`jnl`	The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces. CoRR Chi Jin, Qinghua Liu, Tiancheng Yu
2021	J	`jnl`	V-Learning - A Simple, Efficient, Decentralized Algorithm for Multiagent RL. CoRR Chi Jin, Qinghua Liu, Yuanhao Wang, Tiancheng Yu
2020	J	`jnl`	A General Framework for Analyzing Stochastic Dynamics in Learning Algorithms. CoRR Chi-Ning Chou, Juspreet Singh Sandhu, Mien Brabeeba Wang, Tiancheng Yu
2020	J	`jnl`	A Sharp Analysis of Model-based Reinforcement Learning with Self-Play. CoRR Qinghua Liu, Tiancheng Yu, Yu Bai, Chi Jin
2020	A*	`conf`	Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition. ICML Chi Jin, Tiancheng Jin, Haipeng Luo, Suvrit Sra, Tiancheng Yu
2020	A*	`conf`	Near-Optimal Reinforcement Learning with Self-Play. NeurIPS Yu Bai, Chi Jin, Tiancheng Yu
2020	J	`jnl`	Near-Optimal Reinforcement Learning with Self-Play. CoRR Yu Bai, Chi Jin, Tiancheng Yu
2020	J	`jnl`	Provably Efficient Online Agnostic Learning in Markov Games. CoRR Yi Tian, Yuanhao Wang, Tiancheng Yu, Suvrit Sra
2020	A*	`conf`	Reward-Free Exploration for Reinforcement Learning. ICML Chi Jin, Akshay Krishnamurthy, Max Simchowitz, Tiancheng Yu
2020	J	`jnl`	Reward-Free Exploration for Reinforcement Learning. CoRR Chi Jin, Akshay Krishnamurthy, Max Simchowitz, Tiancheng Yu
2018	B	`conf`	A Probabilistic Learning Approach to UWB Ranging Error Mitigation. GLOBECOM Chengzhi Mao, Kangbo Lin, Tiancheng Yu, Yuan Shen
2018	J	`jnl`	Asymptotic Performance Analysis for Landmark Learning in Indoor Localization. IEEE Commun. Lett. Tiancheng Yu, Yuan Shen
2018	A*	`conf`	Entropy Rate Estimation for Markov Chains with Large State Space. NeurIPS Yanjun Han, Jiantao Jiao, Chuan-Zheng Lee, Tsachy Weissman, Yihong Wu, Tiancheng Yu
2018	J	`jnl`	Entropy Rate Estimation for Markov Chains with Large State Space. CoRR Yanjun Han, Jiantao Jiao, Chuan-Zheng Lee, Tsachy Weissman, Yihong Wu, Tiancheng Yu