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Tiancheng Yu
Tiancheng Yu
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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
942020
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
72*2020
Near-optimal reinforcement learning with self-play
Y Bai, C Jin, T Yu
Advances in neural information processing systems 33, 2159-2170, 2020
602020
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
532021
Learning adversarial mdps with bandit feedback and unknown transition
C Jin, T Jin, H Luo, S Sra, T Yu
arXiv preprint arXiv:1912.01192, 2019
362019
Online learning in unknown markov games
Y Tian, Y Wang, T Yu, S Sra
International conference on machine learning, 10279-10288, 2021
182021
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
152018
V-Learning--A Simple, Efficient, Decentralized Algorithm for Multiagent RL
C Jin, Q Liu, Y Wang, T Yu
arXiv preprint arXiv:2110.14555, 2021
122021
The power of exploiter: Provable multi-agent rl in large state spaces
C Jin, Q Liu, T Yu
arXiv preprint arXiv:2106.03352, 2021
122021
Provably efficient online agnostic learning in Markov games
Y Tian, Y Wang, T Yu, S Sra
122020
Provably efficient algorithms for multi-objective competitive rl
T Yu, Y Tian, J Zhang, S Sra
International Conference on Machine Learning, 12167-12176, 2021
92021
The Power of Regularization in Solving Extensive-Form Games
M Liu, A Ozdaglar, T Yu, K Zhang
arXiv preprint arXiv:2206.09495, 2022
2022
Efficient -Regret Minimization in Extensive-Form Games via Online Mirror Descent
Y Bai, C Jin, S Mei, Z Song, T Yu
arXiv preprint arXiv:2205.15294, 2022
2022
Near-Optimal Learning of Extensive-Form Games with Imperfect Information
Y Bai, C Jin, S Mei, T Yu
arXiv preprint arXiv:2202.01752, 2022
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 1–15