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Tiancheng Yu
Tiancheng Yu
Two Sigma
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Title
Cited by
Cited by
Year
Reward-free exploration for reinforcement learning
C Jin, A Krishnamurthy, M Simchowitz, T Yu
International Conference on Machine Learning, 4870-4879, 2020
2282020
A sharp analysis of model-based reinforcement learning with self-play
Q Liu, T Yu, Y Bai, C Jin
International Conference on Machine Learning, 7001-7010, 2021
1412021
Near-optimal reinforcement learning with self-play
Y Bai, C Jin, T Yu
Advances in neural information processing systems 33, 2159-2170, 2020
1372020
Learning adversarial markov decision processes with bandit feedback and unknown transition
C Jin, T Jin, H Luo, S Sra, T Yu
International Conference on Machine Learning, 4860-4869, 2020
127*2020
V-Learning--A Simple, Efficient, Decentralized Algorithm for Multiagent RL
C Jin, Q Liu, Y Wang, T Yu
arXiv preprint arXiv:2110.14555, 2021
892021
The power of exploiter: Provable multi-agent rl in large state spaces
C Jin, Q Liu, T Yu
International Conference on Machine Learning, 10251-10279, 2022
622022
Online learning in unknown markov games
Y Tian, Y Wang, T Yu, S Sra
International conference on machine learning, 10279-10288, 2021
502021
A probabilistic learning approach to UWB ranging error mitigation
C Mao, K Lin, T Yu, Y Shen
2018 IEEE Global Communications Conference (GLOBECOM), 1-6, 2018
302018
Provably efficient algorithms for multi-objective competitive rl
T Yu, Y Tian, J Zhang, S Sra
International Conference on Machine Learning, 12167-12176, 2021
222021
Near-optimal learning of extensive-form games with imperfect information
Y Bai, C Jin, S Mei, T Yu
International Conference on Machine Learning, 1337-1382, 2022
212022
Entropy rate estimation for Markov chains with large state space
Y Han, J Jiao, CZ Lee, T Weissman, Y Wu, T Yu
Advances in Neural Information Processing Systems 31, 2018
202018
Provably efficient online agnostic learning in Markov games
Y Tian, Y Wang, T Yu, S Sra
arXiv preprint arXiv:2010.15020, 2020
182020
Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent
Y Bai, C Jin, S Mei, Z Song, T Yu
Advances in Neural Information Processing Systems 35, 22313-22325, 2022
142022
The power of regularization in solving extensive-form games
M Liu, A Ozdaglar, T Yu, K Zhang
arXiv preprint arXiv:2206.09495, 2022
122022
Asymptotic performance analysis for landmark learning in indoor localization
T Yu, Y Shen
IEEE Communications Letters 22 (4), 740-743, 2018
72018
V-learning—a simple, efficient, decentralized algorithm for multiagent reinforcement learning
C Jin, Q Liu, Y Wang, T Yu
Mathematics of Operations Research, 2023
42023
Towards efficient evaluation of risk via herding
Z Xu, T Yu, S Sra
Negative Dependence: Theory and Applications in Machine Learning, 2019
12019
Near-Optimal Learning in Sequential Games
T Yu
Massachusetts Institute of Technology, 2023
2023
Achieving diversity and relevancy in zero-shot recommender systems for human evaluations
T Yu, Y Ma, A Deoras
2022
A General Framework for Analyzing Stochastic Dynamics in Learning Algorithms
CN Chou, JS Sandhu, MB Wang, T Yu
arXiv preprint arXiv:2006.06171, 2020
2020
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Articles 1–20