• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 28 matches

• 2023
• 
  Ying Feng, Tiancheng Yu:
  Modeling of Shape Memory Alloy Artificial Wrist Joint via Modified Prandtl-Ishlinskii Hysteresis Model. ICARM 2023: 1125-1130
• 
  Mingyang Liu, Asuman E. Ozdaglar, Tiancheng Yu, Kaiqing Zhang:
  The Power of Regularization in Solving Extensive-Form Games. ICLR 2023
• 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: 107118 (2022)
• 
  Yu Bai, Chi Jin, Song Mei, Tiancheng Yu:
  Near-Optimal Learning of Extensive-Form Games with Imperfect Information. ICML 2022: 1337-1382
• 
  Chi Jin, Qinghua Liu, Tiancheng Yu:
  The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces. ICML 2022: 10251-10279
• 
  Yu Bai, Chi Jin, Song Mei, Ziang Song, Tiancheng Yu:
  Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent. NeurIPS 2022
• 
  Yu Bai, Chi Jin, Song Mei, Tiancheng Yu:
  Near-Optimal Learning of Extensive-Form Games with Imperfect Information. CoRR abs/2202.01752 (2022)
• 
  Yu Bai, Chi Jin, Song Mei, Ziang Song, Tiancheng Yu:
  Efficient Φ-Regret Minimization in Extensive-Form Games via Online Mirror Descent. CoRR abs/2205.15294 (2022)
• 
  Mingyang Liu, Asuman E. Ozdaglar, Tiancheng Yu, Kaiqing Zhang:
  The Power of Regularization in Solving Extensive-Form Games. CoRR abs/2206.09495 (2022)
• 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: 106369 (2021)
• 
  Qinghua Liu, Tiancheng Yu, Yu Bai, Chi Jin:
  A Sharp Analysis of Model-based Reinforcement Learning with Self-Play. ICML 2021: 7001-7010
• 
  Yi Tian, Yuanhao Wang, Tiancheng Yu, Suvrit Sra:
  Online Learning in Unknown Markov Games. ICML 2021: 10279-10288
• 
  Tiancheng Yu, Yi Tian, Jingzhao Zhang, Suvrit Sra:
  Provably Efficient Algorithms for Multi-Objective Competitive RL. ICML 2021: 12167-12176
• 
  Tiancheng Yu, Yi Tian, Jingzhao Zhang, Suvrit Sra:
  Provably Efficient Algorithms for Multi-Objective Competitive RL. CoRR abs/2102.03192 (2021)
• 
  Chi Jin, Qinghua Liu, Tiancheng Yu:
  The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces. CoRR abs/2106.03352 (2021)
• 
  Chi Jin, Qinghua Liu, Yuanhao Wang, Tiancheng Yu:
  V-Learning - A Simple, Efficient, Decentralized Algorithm for Multiagent RL. CoRR abs/2110.14555 (2021)
• 2020
• 
  Chi Jin, Tiancheng Jin, Haipeng Luo, Suvrit Sra, Tiancheng Yu:
  Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition. ICML 2020: 4860-4869
• 
  Chi Jin, Akshay Krishnamurthy, Max Simchowitz, Tiancheng Yu:
  Reward-Free Exploration for Reinforcement Learning. ICML 2020: 4870-4879
• 
  Yu Bai, Chi Jin, Tiancheng Yu:
  Near-Optimal Reinforcement Learning with Self-Play. NeurIPS 2020
• 
  Chi Jin, Akshay Krishnamurthy, Max Simchowitz, Tiancheng Yu:
  Reward-Free Exploration for Reinforcement Learning. CoRR abs/2002.02794 (2020)
• 
  Chi-Ning Chou, Juspreet Singh Sandhu, Mien Brabeeba Wang, Tiancheng Yu:
  A General Framework for Analyzing Stochastic Dynamics in Learning Algorithms. CoRR abs/2006.06171 (2020)
• 
  Yu Bai, Chi Jin, Tiancheng Yu:
  Near-Optimal Reinforcement Learning with Self-Play. CoRR abs/2006.12007 (2020)
• 
  Qinghua Liu, Tiancheng Yu, Yu Bai, Chi Jin:
  A Sharp Analysis of Model-based Reinforcement Learning with Self-Play. CoRR abs/2010.01604 (2020)
• 
  Yi Tian, Yuanhao Wang, Tiancheng Yu, Suvrit Sra:
  Provably Efficient Online Agnostic Learning in Markov Games. CoRR abs/2010.15020 (2020)
• 2018
• 
  Tiancheng Yu, Yuan Shen:
  Asymptotic Performance Analysis for Landmark Learning in Indoor Localization. IEEE Commun. Lett. 22(4): 740-743 (2018)
• 
  Chengzhi Mao, Kangbo Lin, Tiancheng Yu, Yuan Shen:
  A Probabilistic Learning Approach to UWB Ranging Error Mitigation. GLOBECOM 2018: 1-6
• 
  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: 9803-9814
• 
  Yanjun Han, Jiantao Jiao, Chuan-Zheng Lee, Tsachy Weissman, Yihong Wu, Tiancheng Yu:
  Entropy Rate Estimation for Markov Chains with Large State Space. CoRR abs/1802.07889 (2018)