Tiancheng Yu

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 30

Top Topics

Exploration Exploitation

Reinforcement Learning

Markov Decision Process

Top Venues

Comput. Electron. Agric.

Publications

Viet Anh Dang, Ning Gao, Tiancheng Yu
Budget Trading Program. Manag. Sci. 69 (12) (2023)
Ying Feng, Tiancheng Yu
Tracking Control of Shape Memory Alloy Artificial Wrist Joint Based on Generalized Prandtl-Ishlinskii Inverse Model. ICDL (2023)
Mingyang Liu, Asuman E. Ozdaglar, Tiancheng Yu, Kaiqing Zhang
The Power of Regularization in Solving Extensive-Form Games. ICLR (2023)
Ying Feng, Tiancheng Yu
Modeling of Shape Memory Alloy Artificial Wrist Joint via Modified Prandtl-Ishlinskii Hysteresis Model. ICARM (2023)
Yu Bai, Chi Jin, Song Mei, Tiancheng Yu
Near-Optimal Learning of Extensive-Form Games with Imperfect Information. CoRR (2022)
Yu Bai, Chi Jin, Song Mei, Ziang Song, Tiancheng Yu
Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent. NeurIPS (2022)
Youqiang Ding, Xiantao He, Li Yang, Dongxing Zhang, Tao Cui, Yuhuan Li, Xiangjun Zhong, Chunji Xie, Zhaohui Du, Tiancheng Yu
Low-cost turn compensation control system for conserving seeds and increasing yields from maize precision planters. Comput. Electron. Agric. 199 (2022)
Mingyang Liu, Asuman E. Ozdaglar, Tiancheng Yu, Kaiqing Zhang
The Power of Regularization in Solving Extensive-Form Games. CoRR (2022)
Yu Bai, Chi Jin, Song Mei, Ziang Song, Tiancheng Yu
Efficient Φ-Regret Minimization in Extensive-Form Games via Online Mirror Descent. CoRR (2022)
Yu Bai, Chi Jin, Song Mei, Tiancheng Yu
Near-Optimal Learning of Extensive-Form Games with Imperfect Information. ICML (2022)
Chi Jin, Qinghua Liu, Tiancheng Yu
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces. ICML (2022)
Tiancheng Yu, Yi Tian, Jingzhao Zhang, Suvrit Sra
Provably Efficient Algorithms for Multi-Objective Competitive RL. ICML (2021)
Chi Jin, Qinghua Liu, Tiancheng Yu
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces. CoRR (2021)
Tiancheng Yu, Yi Tian, Jingzhao Zhang, Suvrit Sra
Provably Efficient Algorithms for Multi-Objective Competitive RL. CoRR (2021)
Chi Jin, Qinghua Liu, Yuanhao Wang, Tiancheng Yu
V-Learning - A Simple, Efficient, Decentralized Algorithm for Multiagent RL. CoRR (2021)
Yi Tian, Yuanhao Wang, Tiancheng Yu, Suvrit Sra
Online Learning in Unknown Markov Games. ICML (2021)
Chunji Xie, Dongxing Zhang, Li Yang, Tao Cui, Tiancheng Yu, Decheng Wang, Tianpu Xiao
Experimental analysis on the variation law of sensor monitoring accuracy under different seeding speed and seeding spacing. Comput. Electron. Agric. 189 (2021)
Qinghua Liu, Tiancheng Yu, Yu Bai, Chi Jin
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play. ICML (2021)
Chi Jin, Tiancheng Jin, Haipeng Luo, Suvrit Sra, Tiancheng Yu
Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition. ICML (2020)
Chi Jin, Akshay Krishnamurthy, Max Simchowitz, Tiancheng Yu
Reward-Free Exploration for Reinforcement Learning. CoRR (2020)
Chi Jin, Akshay Krishnamurthy, Max Simchowitz, Tiancheng Yu
Reward-Free Exploration for Reinforcement Learning. ICML (2020)
Yi Tian, Yuanhao Wang, Tiancheng Yu, Suvrit Sra
Provably Efficient Online Agnostic Learning in Markov Games. CoRR (2020)
Qinghua Liu, Tiancheng Yu, Yu Bai, Chi Jin
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play. CoRR (2020)
Chi-Ning Chou, Juspreet Singh Sandhu, Mien Brabeeba Wang, Tiancheng Yu
A General Framework for Analyzing Stochastic Dynamics in Learning Algorithms. CoRR (2020)
Yu Bai, Chi Jin, Tiancheng Yu
Near-Optimal Reinforcement Learning with Self-Play. CoRR (2020)
Yu Bai, Chi Jin, Tiancheng Yu
Near-Optimal Reinforcement Learning with Self-Play. NeurIPS (2020)
Tiancheng Yu, Yuan Shen
Asymptotic Performance Analysis for Landmark Learning in Indoor Localization. IEEE Commun. Lett. 22 (4) (2018)
Chengzhi Mao, Kangbo Lin, Tiancheng Yu, Yuan Shen
A Probabilistic Learning Approach to UWB Ranging Error Mitigation. GLOBECOM (2018)
Yanjun Han, Jiantao Jiao, Chuan-Zheng Lee, Tsachy Weissman, Yihong Wu, Tiancheng Yu
Entropy Rate Estimation for Markov Chains with Large State Space. CoRR (2018)
Yanjun Han, Jiantao Jiao, Chuan-Zheng Lee, Tsachy Weissman, Yihong Wu, Tiancheng Yu
Entropy Rate Estimation for Markov Chains with Large State Space. NeurIPS (2018)