A Probabilistic Learning Approach to UWB Ranging Error Mitigation. - Chengzhi Mao; Kangbo Lin; Tiancheng Yu; Yuan Shen 001 (GLOBECOM, 2018)

Entropy Rate Estimation for Markov Chains with Large State Space. - Yanjun Han; Jiantao Jiao; Chuan-Zheng Lee; Tsachy Weissman; Yihong Wu 001; Tiancheng Yu (NeurIPS, 2018)

Asymptotic Performance Analysis for Landmark Learning in Indoor Localization. - Tiancheng Yu; Yuan Shen 001 (IEEE Commun. Lett., 2018)

Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition. - Chi Jin 001; Tiancheng Jin; Haipeng Luo; Suvrit Sra; Tiancheng Yu (ICML, 2020)

Reward-Free Exploration for Reinforcement Learning. - Chi Jin 001; Akshay Krishnamurthy; Max Simchowitz; Tiancheng Yu (ICML, 2020)

Near-Optimal Reinforcement Learning with Self-Play. - Yu Bai 017; Chi Jin 001; Tiancheng Yu (NeurIPS, 2020)

A General Framework for Analyzing Stochastic Dynamics in Learning Algorithms. - Chi-Ning Chou; Juspreet Singh Sandhu; Mien Brabeeba Wang; Tiancheng Yu (CoRR, 2020)

Provably Efficient Online Agnostic Learning in Markov Games. - Yi Tian; Yuanhao Wang 001; Tiancheng Yu; Suvrit Sra (CoRR, 2020)

A Sharp Analysis of Model-based Reinforcement Learning with Self-Play. - Qinghua Liu; Tiancheng Yu; Yu Bai 017; Chi Jin 001 (ICML, 2021)

Online Learning in Unknown Markov Games. - Yi Tian; Yuanhao Wang 001; Tiancheng Yu; Suvrit Sra (ICML, 2021)

Provably Efficient Algorithms for Multi-Objective Competitive RL. - Tiancheng Yu; Yi Tian; Jingzhao Zhang; Suvrit Sra (ICML, 2021)

Experimental analysis on the variation law of sensor monitoring accuracy under different seeding speed and seeding spacing. - Chunji Xie; Dongxing Zhang; Li Yang 013; Tao Cui; Tiancheng Yu; Decheng Wang; Tianpu Xiao (Comput. Electron. Agric., 2021)

V-Learning - A Simple, Efficient, Decentralized Algorithm for Multiagent RL. - Chi Jin 001; Qinghua Liu; Yuanhao Wang 001; Tiancheng Yu (CoRR, 2021)

Near-Optimal Learning of Extensive-Form Games with Imperfect Information. - Yu Bai 017; Chi Jin 001; Song Mei; Tiancheng Yu (ICML, 2022)

The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces. - Chi Jin 001; Qinghua Liu; Tiancheng Yu (ICML, 2022)

Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent. - Yu Bai 017; Chi Jin 001; Song Mei; Ziang Song; Tiancheng Yu (NeurIPS, 2022)

Low-cost turn compensation control system for conserving seeds and increasing yields from maize precision planters. - Youqiang Ding; Xiantao He; Li Yang 013; Dongxing Zhang; Tao Cui; Yuhuan Li; Xiangjun Zhong; Chunji Xie; Zhaohui Du; Tiancheng Yu (Comput. Electron. Agric., 2022)

Efficient Φ-Regret Minimization in Extensive-Form Games via Online Mirror Descent. - Yu Bai 017; Chi Jin 001; Song Mei; Ziang Song; Tiancheng Yu (CoRR, 2022)

Modeling of Shape Memory Alloy Artificial Wrist Joint via Modified Prandtl-Ishlinskii Hysteresis Model. - Ying Feng; Tiancheng Yu (ICARM, 2023)

Tracking Control of Shape Memory Alloy Artificial Wrist Joint Based on Generalized Prandtl-Ishlinskii Inverse Model. - Ying Feng; Tiancheng Yu (ICDL, 2023)

The Power of Regularization in Solving Extensive-Form Games. - Mingyang Liu; Asuman E. Ozdaglar; Tiancheng Yu; Kaiqing Zhang (ICLR, 2023)

Near-Optimal Learning in Sequential Games - Tiancheng Yu (2023)

Climate Policy Risk and Corporate Financial Decisions: Evidence from the NOx Budget Trading Program. - Viet Anh Dang; Ning Gao; Tiancheng Yu (Manag. Sci., 2023)

V-Learning - A Simple, Efficient, Decentralized Algorithm for Multiagent Reinforcement Learning. - Chi Jin 001; Qinghua Liu; Yuanhao Wang 001; Tiancheng Yu (Math. Oper. Res., 2024)

A 0.5-8GHz Reconfigurable CMOS RF Receiver Front-End for CR and DPA Applications. - Hui Nie 002; Tiancheng Yu; Jiangbo Chen; Jiabing Liu; Dongdong Liu; Xiaopeng Yu 002; Qun Jane Gu; Zhiwei Xu 003 (IEEE Trans. Circuits Syst. II Express Briefs, 2024)