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Tengyu Xu
Tengyu Xu
Meta Platforms, Inc.
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Title
Cited by
Cited by
Year
Finite-sample analysis for sarsa with linear function approximation
S Zou, T Xu, Y Liang
Advances in neural information processing systems 32, 2019
1412019
Improving sample complexity bounds for actor-critic algorithms
T Xu, Z Wang, Y Liang
arXiv preprint arXiv:2004.12956, 2020
94*2020
Two time-scale off-policy TD learning: Non-asymptotic analysis over Markovian samples
T Xu, S Zou, Y Liang
Advances in Neural Information Processing Systems 32, 2019
712019
Crpo: A new approach for safe reinforcement learning with convergence guarantee
T Xu, Y Liang, G Lan
International Conference on Machine Learning, 11480-11491, 2021
58*2021
Reanalysis of variance reduced temporal difference learning
T Xu, Z Wang, Y Zhou, Y Liang
arXiv preprint arXiv:2001.01898, 2020
372020
Algorithms for the estimation of transient surface heat flux during ultra-fast surface cooling
ZF Zhou, TY Xu, B Chen
International Journal of Heat and Mass Transfer 100, 1-10, 2016
362016
Enhanced first and zeroth order variance reduced algorithms for min-max optimization
T Xu, Z Wang, Y Liang, HV Poor
27*2020
Non-asymptotic convergence of adam-type reinforcement learning algorithms under Markovian sampling
H Xiong, T Xu, Y Liang, W Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10460 …, 2021
262021
When Will Gradient Methods Converge to Max-margin Classifier under ReLU Models?
T Xu, Y Zhou, K Ji, Y Liang
arXiv preprint arXiv:1806.04339, 2018
21*2018
Sample complexity bounds for two timescale value-based reinforcement learning algorithms
T Xu, Y Liang
International Conference on Artificial Intelligence and Statistics, 811-819, 2021
182021
Doubly robust off-policy actor-critic: Convergence and optimality
T Xu, Z Yang, Z Wang, Y Liang
International Conference on Machine Learning, 11581-11591, 2021
172021
Proximal gradient descent-ascent: Variable convergence under k {\L} geometry
Z Chen, Y Zhou, T Xu, Y Liang
arXiv preprint arXiv:2102.04653, 2021
152021
Faster algorithm and sharper analysis for constrained markov decision process
T Li, Z Guan, S Zou, T Xu, Y Liang, G Lan
arXiv preprint arXiv:2110.10351, 2021
92021
When will generative adversarial imitation learning algorithms attain global convergence
Z Guan, T Xu, Y Liang
International Conference on Artificial Intelligence and Statistics, 1117-1125, 2021
82021
Model-Based Offline Meta-Reinforcement Learning with Regularization
S Lin, J Wan, T Xu, Y Liang, J Zhang
arXiv preprint arXiv:2202.02929, 2022
42022
PER-ETD: A polynomially efficient emphatic temporal difference learning method
Z Guan, T Xu, Y Liang
arXiv preprint arXiv:2110.06906, 2021
22021
Provably efficient offline reinforcement learning with trajectory-wise reward
T Xu, Y Liang
arXiv preprint arXiv:2206.06426, 2022
12022
A Unifying Framework of Off-Policy General Value Function Evaluation
T Xu, Z Yang, Z Wang, Y Liang
Advances in Neural Information Processing Systems, 0
1*
Deterministic policy gradient: Convergence analysis
H Xiong, T Xu, L Zhao, Y Liang, W Zhang
Uncertainty in Artificial Intelligence, 2159-2169, 2022
2022
Towards the Understanding of Sample Efficient Reinforcement Learning Algorithms
T Xu
The Ohio State University, 2022
2022
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