Tiancheng Yu

According to our database, Tiancheng Yu authored at least 25 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A 0.5-8GHz Reconfigurable CMOS RF Receiver Front-End for CR and DPA Applications.

Hui Nie, Tiancheng Yu, Jiangbo Chen, Jiabing Liu, Dongdong Liu, Xiaopeng Yu, Qun Jane Gu, Zhiwei Xu

IEEE Trans. Circuits Syst. II Express Briefs, December, 2024

V-Learning - A Simple, Efficient, Decentralized Algorithm for Multiagent Reinforcement Learning.

Chi Jin, Qinghua Liu, Yuanhao Wang, Tiancheng Yu

Math. Oper. Res., 2024

2023

Climate Policy Risk and Corporate Financial Decisions: Evidence from the NO_x Budget Trading Program.

Viet Anh Dang, Ning Gao, Tiancheng Yu

Manag. Sci., December, 2023

Near-Optimal Learning in Sequential Games

Tiancheng Yu

PhD thesis, 2023

The Power of Regularization in Solving Extensive-Form Games.

Mingyang Liu, Asuman E. Ozdaglar, Tiancheng Yu, Kaiqing Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Tracking Control of Shape Memory Alloy Artificial Wrist Joint Based on Generalized Prandtl-Ishlinskii Inverse Model.

Ying Feng, Tiancheng Yu

Proceedings of the IEEE International Conference on Development and Learning, 2023

Modeling of Shape Memory Alloy Artificial Wrist Joint via Modified Prandtl-Ishlinskii Hysteresis Model.

Ying Feng, Tiancheng Yu

Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

2022

Efficient Φ-Regret Minimization in Extensive-Form Games via Online Mirror Descent.

Yu Bai, Chi Jin, Song Mei, Ziang Song, Tiancheng Yu

CoRR, 2022

Low-cost turn compensation control system for conserving seeds and increasing yields from maize precision planters.

Youqiang Ding, Xiantao He, Li Yang, Dongxing Zhang, Tao Cui, Yuhuan Li, Xiangjun Zhong, Chunji Xie, Zhaohui Du, Tiancheng Yu

Comput. Electron. Agric., 2022

Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent.

Yu Bai, Chi Jin, Song Mei, Ziang Song, Tiancheng Yu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces.

Chi Jin, Qinghua Liu, Tiancheng Yu

Proceedings of the International Conference on Machine Learning, 2022

Near-Optimal Learning of Extensive-Form Games with Imperfect Information.

Yu Bai, Chi Jin, Song Mei, Tiancheng Yu

Proceedings of the International Conference on Machine Learning, 2022

2021

V-Learning - A Simple, Efficient, Decentralized Algorithm for Multiagent RL.

Chi Jin, Qinghua Liu, Yuanhao Wang, Tiancheng Yu

CoRR, 2021

Experimental analysis on the variation law of sensor monitoring accuracy under different seeding speed and seeding spacing.

Chunji Xie, Dongxing Zhang, Li Yang, Tao Cui, Tiancheng Yu, Decheng Wang, Tianpu Xiao

Comput. Electron. Agric., 2021

Provably Efficient Algorithms for Multi-Objective Competitive RL.

Tiancheng Yu, Yi Tian, Jingzhao Zhang, Suvrit Sra

Proceedings of the 38th International Conference on Machine Learning, 2021

Online Learning in Unknown Markov Games.

Yi Tian, Yuanhao Wang, Tiancheng Yu, Suvrit Sra

Proceedings of the 38th International Conference on Machine Learning, 2021

A Sharp Analysis of Model-based Reinforcement Learning with Self-Play.

Qinghua Liu, Tiancheng Yu, Yu Bai, Chi Jin

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Provably Efficient Online Agnostic Learning in Markov Games.

Yi Tian, Yuanhao Wang, Tiancheng Yu, Suvrit Sra

CoRR, 2020

A General Framework for Analyzing Stochastic Dynamics in Learning Algorithms.

Chi-Ning Chou, Juspreet Singh Sandhu, Mien Brabeeba Wang, Tiancheng Yu

CoRR, 2020

Near-Optimal Reinforcement Learning with Self-Play.

Yu Bai, Chi Jin, Tiancheng Yu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Reward-Free Exploration for Reinforcement Learning.

Chi Jin, Akshay Krishnamurthy, Max Simchowitz, Tiancheng Yu

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition.

Chi Jin, Tiancheng Jin, Haipeng Luo, Suvrit Sra, Tiancheng Yu

Proceedings of the 37th International Conference on Machine Learning, 2020

2018

Asymptotic Performance Analysis for Landmark Learning in Indoor Localization.

Tiancheng Yu, Yuan Shen

IEEE Commun. Lett., 2018

Entropy Rate Estimation for Markov Chains with Large State Space.

Yanjun Han, Jiantao Jiao, Chuan-Zheng Lee, Tsachy Weissman, Yihong Wu, Tiancheng Yu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Probabilistic Learning Approach to UWB Ranging Error Mitigation.

Chengzhi Mao, Kangbo Lin, Tiancheng Yu, Yuan Shen

Proceedings of the IEEE Global Communications Conference, 2018